Package io.deephaven.function

Class Numeric

java.lang.Object

io.deephaven.function.Numeric

@UserInvocationPermitted("function_library")
public class Numeric
extends Object

A set of commonly used numeric functions that can be applied to numeric types.

Field Summary

Fields

Modifier and Type	Field	Description
static final double	E	The double value that is closer than any other to e, the base of the natural logarithms.
static final double	PI	The double value that is closer than any other to pi, the ratio of the circumference of a circle to its diameter.

Constructor Summary

Constructors

Constructor	Description
Numeric()

Method Summary

Modifier and Type	Method	Description
static byte	abs(byte value)	Returns the absolute value.
static double	abs(double value)	Returns the absolute value.
static float	abs(float value)	Returns the absolute value.
static int	abs(int value)	Returns the absolute value.
static long	abs(long value)	Returns the absolute value.
static short	abs(short value)	Returns the absolute value.
static double	absAvg(byte... values)	Returns the mean of the absolute values of values.
static double	absAvg(double... values)	Returns the mean of the absolute values of values.
static double	absAvg(float... values)	Returns the mean of the absolute values of values.
static double	absAvg(int... values)	Returns the mean of the absolute values of values.
static double	absAvg(long... values)	Returns the mean of the absolute values of values.
static double	absAvg(short... values)	Returns the mean of the absolute values of values.
static double	absAvg(ByteVector values)	Returns the mean of the absolute values of values.
static double	absAvg(DoubleVector values)	Returns the mean of the absolute values of values.
static double	absAvg(FloatVector values)	Returns the mean of the absolute values of values.
static double	absAvg(IntVector values)	Returns the mean of the absolute values of values.
static double	absAvg(LongVector values)	Returns the mean of the absolute values of values.
static double	absAvg(ShortVector values)	Returns the mean of the absolute values of values.
static double	absAvg(Byte[] values)	Returns the mean of the absolute values of values.
static double	absAvg(Double[] values)	Returns the mean of the absolute values of values.
static double	absAvg(Float[] values)	Returns the mean of the absolute values of values.
static double	absAvg(Integer[] values)	Returns the mean of the absolute values of values.
static double	absAvg(Long[] values)	Returns the mean of the absolute values of values.
static double	absAvg(Short[] values)	Returns the mean of the absolute values of values.
static double	acos(byte value)	Returns the arc cosine.
static double	acos(double value)	Returns the arc cosine.
static double	acos(float value)	Returns the arc cosine.
static double	acos(int value)	Returns the arc cosine.
static double	acos(long value)	Returns the arc cosine.
static double	acos(short value)	Returns the arc cosine.
static byte	addExact(byte x, byte y)	Returns the sum of its arguments, throwing an exception if the result overflows.
static int	addExact(int x, int y)	Returns the sum of its arguments, throwing an exception if the result overflows.
static long	addExact(long x, long y)	Returns the sum of its arguments, throwing an exception if the result overflows.
static short	addExact(short x, short y)	Returns the sum of its arguments, throwing an exception if the result overflows.
static double	asin(byte value)	Returns the arc sine.
static double	asin(double value)	Returns the arc sine.
static double	asin(float value)	Returns the arc sine.
static double	asin(int value)	Returns the arc sine.
static double	asin(long value)	Returns the arc sine.
static double	asin(short value)	Returns the arc sine.
static double	atan(byte value)	Returns the arc tangent.
static double	atan(double value)	Returns the arc tangent.
static double	atan(float value)	Returns the arc tangent.
static double	atan(int value)	Returns the arc tangent.
static double	atan(long value)	Returns the arc tangent.
static double	atan(short value)	Returns the arc tangent.
static double	atan2(byte y, byte x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	atan2(double y, double x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	atan2(float y, float x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	atan2(int y, int x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	atan2(long y, long x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	atan2(short y, short x)	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
static double	avg(byte... values)	Returns the mean.
static double	avg(double... values)	Returns the mean.
static double	avg(float... values)	Returns the mean.
static double	avg(int... values)	Returns the mean.
static double	avg(long... values)	Returns the mean.
static double	avg(short... values)	Returns the mean.
static double	avg(ByteVector values)	Returns the mean.
static double	avg(DoubleVector values)	Returns the mean.
static double	avg(FloatVector values)	Returns the mean.
static double	avg(IntVector values)	Returns the mean.
static double	avg(LongVector values)	Returns the mean.
static double	avg(ShortVector values)	Returns the mean.
static double	avg(Byte[] values)	Returns the mean.
static double	avg(Double[] values)	Returns the mean.
static double	avg(Float[] values)	Returns the mean.
static double	avg(Integer[] values)	Returns the mean.
static double	avg(Long[] values)	Returns the mean.
static double	avg(Short[] values)	Returns the mean.
static double	cbrt(byte x)	Returns the cube root of a value.
static double	cbrt(double x)	Returns the cube root of a value.
static double	cbrt(float x)	Returns the cube root of a value.
static double	cbrt(int x)	Returns the cube root of a value.
static double	cbrt(long x)	Returns the cube root of a value.
static double	cbrt(short x)	Returns the cube root of a value.
static double	ceil(byte value)	Returns the ceiling.
static double	ceil(double value)	Returns the ceiling.
static double	ceil(float value)	Returns the ceiling.
static double	ceil(int value)	Returns the ceiling.
static double	ceil(long value)	Returns the ceiling.
static double	ceil(short value)	Returns the ceiling.
static byte	clamp(byte value, byte min, byte max)	Constrains the value to be on the [min,max] range.
static double	clamp(double value, double min, double max)	Constrains the value to be on the [min,max] range.
static float	clamp(float value, float min, float max)	Constrains the value to be on the [min,max] range.
static int	clamp(int value, int min, int max)	Constrains the value to be on the [min,max] range.
static long	clamp(long value, long min, long max)	Constrains the value to be on the [min,max] range.
static short	clamp(short value, short min, short max)	Constrains the value to be on the [min,max] range.
static int	compare(byte v1, byte v2)	Compares two specified values.
static int	compare(double v1, double v2)	Compares two specified values.
static int	compare(float v1, float v2)	Compares two specified values.
static int	compare(int v1, int v2)	Compares two specified values.
static int	compare(long v1, long v2)	Compares two specified values.
static int	compare(short v1, short v2)	Compares two specified values.
static int	compare(Byte v1, Byte v2)	Compares two specified values.
static int	compare(Double v1, Double v2)	Compares two specified values.
static int	compare(Float v1, Float v2)	Compares two specified values.
static int	compare(Integer v1, Integer v2)	Compares two specified values.
static int	compare(Long v1, Long v2)	Compares two specified values.
static int	compare(Short v1, Short v2)	Compares two specified values.
static boolean	containsNonFinite(byte... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(double... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(float... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(int... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(long... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(short... values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Byte[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Double[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Float[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Integer[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Long[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	containsNonFinite(Short[] values)	Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.
static byte	copySign(byte magnitude, byte sign)	Returns the first argument with the sign of the second argument.
static double	copySign(double magnitude, double sign)	Returns the first argument with the sign of the second argument.
static float	copySign(float magnitude, float sign)	Returns the first argument with the sign of the second argument.
static int	copySign(int magnitude, int sign)	Returns the first argument with the sign of the second argument.
static long	copySign(long magnitude, long sign)	Returns the first argument with the sign of the second argument.
static short	copySign(short magnitude, short sign)	Returns the first argument with the sign of the second argument.
static double	cor(byte[] values0, byte[] values1)	Returns the correlation.
static double	cor(byte[] values0, double[] values1)	Returns the correlation.
static double	cor(byte[] values0, float[] values1)	Returns the correlation.
static double	cor(byte[] values0, int[] values1)	Returns the correlation.
static double	cor(byte[] values0, long[] values1)	Returns the correlation.
static double	cor(byte[] values0, short[] values1)	Returns the correlation.
static double	cor(byte[] values0, ByteVector values1)	Returns the correlation.
static double	cor(byte[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(byte[] values0, FloatVector values1)	Returns the correlation.
static double	cor(byte[] values0, IntVector values1)	Returns the correlation.
static double	cor(byte[] values0, LongVector values1)	Returns the correlation.
static double	cor(byte[] values0, ShortVector values1)	Returns the correlation.
static double	cor(double[] values0, byte[] values1)	Returns the correlation.
static double	cor(double[] values0, double[] values1)	Returns the correlation.
static double	cor(double[] values0, float[] values1)	Returns the correlation.
static double	cor(double[] values0, int[] values1)	Returns the correlation.
static double	cor(double[] values0, long[] values1)	Returns the correlation.
static double	cor(double[] values0, short[] values1)	Returns the correlation.
static double	cor(double[] values0, ByteVector values1)	Returns the correlation.
static double	cor(double[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(double[] values0, FloatVector values1)	Returns the correlation.
static double	cor(double[] values0, IntVector values1)	Returns the correlation.
static double	cor(double[] values0, LongVector values1)	Returns the correlation.
static double	cor(double[] values0, ShortVector values1)	Returns the correlation.
static double	cor(float[] values0, byte[] values1)	Returns the correlation.
static double	cor(float[] values0, double[] values1)	Returns the correlation.
static double	cor(float[] values0, float[] values1)	Returns the correlation.
static double	cor(float[] values0, int[] values1)	Returns the correlation.
static double	cor(float[] values0, long[] values1)	Returns the correlation.
static double	cor(float[] values0, short[] values1)	Returns the correlation.
static double	cor(float[] values0, ByteVector values1)	Returns the correlation.
static double	cor(float[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(float[] values0, FloatVector values1)	Returns the correlation.
static double	cor(float[] values0, IntVector values1)	Returns the correlation.
static double	cor(float[] values0, LongVector values1)	Returns the correlation.
static double	cor(float[] values0, ShortVector values1)	Returns the correlation.
static double	cor(int[] values0, byte[] values1)	Returns the correlation.
static double	cor(int[] values0, double[] values1)	Returns the correlation.
static double	cor(int[] values0, float[] values1)	Returns the correlation.
static double	cor(int[] values0, int[] values1)	Returns the correlation.
static double	cor(int[] values0, long[] values1)	Returns the correlation.
static double	cor(int[] values0, short[] values1)	Returns the correlation.
static double	cor(int[] values0, ByteVector values1)	Returns the correlation.
static double	cor(int[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(int[] values0, FloatVector values1)	Returns the correlation.
static double	cor(int[] values0, IntVector values1)	Returns the correlation.
static double	cor(int[] values0, LongVector values1)	Returns the correlation.
static double	cor(int[] values0, ShortVector values1)	Returns the correlation.
static double	cor(long[] values0, byte[] values1)	Returns the correlation.
static double	cor(long[] values0, double[] values1)	Returns the correlation.
static double	cor(long[] values0, float[] values1)	Returns the correlation.
static double	cor(long[] values0, int[] values1)	Returns the correlation.
static double	cor(long[] values0, long[] values1)	Returns the correlation.
static double	cor(long[] values0, short[] values1)	Returns the correlation.
static double	cor(long[] values0, ByteVector values1)	Returns the correlation.
static double	cor(long[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(long[] values0, FloatVector values1)	Returns the correlation.
static double	cor(long[] values0, IntVector values1)	Returns the correlation.
static double	cor(long[] values0, LongVector values1)	Returns the correlation.
static double	cor(long[] values0, ShortVector values1)	Returns the correlation.
static double	cor(short[] values0, byte[] values1)	Returns the correlation.
static double	cor(short[] values0, double[] values1)	Returns the correlation.
static double	cor(short[] values0, float[] values1)	Returns the correlation.
static double	cor(short[] values0, int[] values1)	Returns the correlation.
static double	cor(short[] values0, long[] values1)	Returns the correlation.
static double	cor(short[] values0, short[] values1)	Returns the correlation.
static double	cor(short[] values0, ByteVector values1)	Returns the correlation.
static double	cor(short[] values0, DoubleVector values1)	Returns the correlation.
static double	cor(short[] values0, FloatVector values1)	Returns the correlation.
static double	cor(short[] values0, IntVector values1)	Returns the correlation.
static double	cor(short[] values0, LongVector values1)	Returns the correlation.
static double	cor(short[] values0, ShortVector values1)	Returns the correlation.
static double	cor(ByteVector values0, byte[] values1)	Returns the correlation.
static double	cor(ByteVector values0, double[] values1)	Returns the correlation.
static double	cor(ByteVector values0, float[] values1)	Returns the correlation.
static double	cor(ByteVector values0, int[] values1)	Returns the correlation.
static double	cor(ByteVector values0, long[] values1)	Returns the correlation.
static double	cor(ByteVector values0, short[] values1)	Returns the correlation.
static double	cor(ByteVector values0, ByteVector values1)	Returns the correlation.
static double	cor(ByteVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(ByteVector values0, FloatVector values1)	Returns the correlation.
static double	cor(ByteVector values0, IntVector values1)	Returns the correlation.
static double	cor(ByteVector values0, LongVector values1)	Returns the correlation.
static double	cor(ByteVector values0, ShortVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, byte[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, double[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, float[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, int[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, long[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, short[] values1)	Returns the correlation.
static double	cor(DoubleVector values0, ByteVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, FloatVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, IntVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, LongVector values1)	Returns the correlation.
static double	cor(DoubleVector values0, ShortVector values1)	Returns the correlation.
static double	cor(FloatVector values0, byte[] values1)	Returns the correlation.
static double	cor(FloatVector values0, double[] values1)	Returns the correlation.
static double	cor(FloatVector values0, float[] values1)	Returns the correlation.
static double	cor(FloatVector values0, int[] values1)	Returns the correlation.
static double	cor(FloatVector values0, long[] values1)	Returns the correlation.
static double	cor(FloatVector values0, short[] values1)	Returns the correlation.
static double	cor(FloatVector values0, ByteVector values1)	Returns the correlation.
static double	cor(FloatVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(FloatVector values0, FloatVector values1)	Returns the correlation.
static double	cor(FloatVector values0, IntVector values1)	Returns the correlation.
static double	cor(FloatVector values0, LongVector values1)	Returns the correlation.
static double	cor(FloatVector values0, ShortVector values1)	Returns the correlation.
static double	cor(IntVector values0, byte[] values1)	Returns the correlation.
static double	cor(IntVector values0, double[] values1)	Returns the correlation.
static double	cor(IntVector values0, float[] values1)	Returns the correlation.
static double	cor(IntVector values0, int[] values1)	Returns the correlation.
static double	cor(IntVector values0, long[] values1)	Returns the correlation.
static double	cor(IntVector values0, short[] values1)	Returns the correlation.
static double	cor(IntVector values0, ByteVector values1)	Returns the correlation.
static double	cor(IntVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(IntVector values0, FloatVector values1)	Returns the correlation.
static double	cor(IntVector values0, IntVector values1)	Returns the correlation.
static double	cor(IntVector values0, LongVector values1)	Returns the correlation.
static double	cor(IntVector values0, ShortVector values1)	Returns the correlation.
static double	cor(LongVector values0, byte[] values1)	Returns the correlation.
static double	cor(LongVector values0, double[] values1)	Returns the correlation.
static double	cor(LongVector values0, float[] values1)	Returns the correlation.
static double	cor(LongVector values0, int[] values1)	Returns the correlation.
static double	cor(LongVector values0, long[] values1)	Returns the correlation.
static double	cor(LongVector values0, short[] values1)	Returns the correlation.
static double	cor(LongVector values0, ByteVector values1)	Returns the correlation.
static double	cor(LongVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(LongVector values0, FloatVector values1)	Returns the correlation.
static double	cor(LongVector values0, IntVector values1)	Returns the correlation.
static double	cor(LongVector values0, LongVector values1)	Returns the correlation.
static double	cor(LongVector values0, ShortVector values1)	Returns the correlation.
static double	cor(ShortVector values0, byte[] values1)	Returns the correlation.
static double	cor(ShortVector values0, double[] values1)	Returns the correlation.
static double	cor(ShortVector values0, float[] values1)	Returns the correlation.
static double	cor(ShortVector values0, int[] values1)	Returns the correlation.
static double	cor(ShortVector values0, long[] values1)	Returns the correlation.
static double	cor(ShortVector values0, short[] values1)	Returns the correlation.
static double	cor(ShortVector values0, ByteVector values1)	Returns the correlation.
static double	cor(ShortVector values0, DoubleVector values1)	Returns the correlation.
static double	cor(ShortVector values0, FloatVector values1)	Returns the correlation.
static double	cor(ShortVector values0, IntVector values1)	Returns the correlation.
static double	cor(ShortVector values0, LongVector values1)	Returns the correlation.
static double	cor(ShortVector values0, ShortVector values1)	Returns the correlation.
static double	cos(byte value)	Returns the cosine.
static double	cos(double value)	Returns the cosine.
static double	cos(float value)	Returns the cosine.
static double	cos(int value)	Returns the cosine.
static double	cos(long value)	Returns the cosine.
static double	cos(short value)	Returns the cosine.
static double	cosh(byte x)	Returns the hyperbolic cosine.
static double	cosh(double x)	Returns the hyperbolic cosine.
static double	cosh(float x)	Returns the hyperbolic cosine.
static double	cosh(int x)	Returns the hyperbolic cosine.
static double	cosh(long x)	Returns the hyperbolic cosine.
static double	cosh(short x)	Returns the hyperbolic cosine.
static long	countNeg(byte... values)	Counts the number of negative values.
static long	countNeg(double... values)	Counts the number of negative values.
static long	countNeg(float... values)	Counts the number of negative values.
static long	countNeg(int... values)	Counts the number of negative values.
static long	countNeg(long... values)	Counts the number of negative values.
static long	countNeg(short... values)	Counts the number of negative values.
static long	countNeg(ByteVector values)	Counts the number of negative values.
static long	countNeg(DoubleVector values)	Counts the number of negative values.
static long	countNeg(FloatVector values)	Counts the number of negative values.
static long	countNeg(IntVector values)	Counts the number of negative values.
static long	countNeg(LongVector values)	Counts the number of negative values.
static long	countNeg(ShortVector values)	Counts the number of negative values.
static long	countNeg(Byte[] values)	Counts the number of negative values.
static long	countNeg(Double[] values)	Counts the number of negative values.
static long	countNeg(Float[] values)	Counts the number of negative values.
static long	countNeg(Integer[] values)	Counts the number of negative values.
static long	countNeg(Long[] values)	Counts the number of negative values.
static long	countNeg(Short[] values)	Counts the number of negative values.
static long	countPos(byte... values)	Counts the number of positive values.
static long	countPos(double... values)	Counts the number of positive values.
static long	countPos(float... values)	Counts the number of positive values.
static long	countPos(int... values)	Counts the number of positive values.
static long	countPos(long... values)	Counts the number of positive values.
static long	countPos(short... values)	Counts the number of positive values.
static long	countPos(ByteVector values)	Counts the number of positive values.
static long	countPos(DoubleVector values)	Counts the number of positive values.
static long	countPos(FloatVector values)	Counts the number of positive values.
static long	countPos(IntVector values)	Counts the number of positive values.
static long	countPos(LongVector values)	Counts the number of positive values.
static long	countPos(ShortVector values)	Counts the number of positive values.
static long	countPos(Byte[] values)	Counts the number of positive values.
static long	countPos(Double[] values)	Counts the number of positive values.
static long	countPos(Float[] values)	Counts the number of positive values.
static long	countPos(Integer[] values)	Counts the number of positive values.
static long	countPos(Long[] values)	Counts the number of positive values.
static long	countPos(Short[] values)	Counts the number of positive values.
static long	countZero(byte... values)	Counts the number of zero values.
static long	countZero(double... values)	Counts the number of zero values.
static long	countZero(float... values)	Counts the number of zero values.
static long	countZero(int... values)	Counts the number of zero values.
static long	countZero(long... values)	Counts the number of zero values.
static long	countZero(short... values)	Counts the number of zero values.
static long	countZero(ByteVector values)	Counts the number of zero values.
static long	countZero(DoubleVector values)	Counts the number of zero values.
static long	countZero(FloatVector values)	Counts the number of zero values.
static long	countZero(IntVector values)	Counts the number of zero values.
static long	countZero(LongVector values)	Counts the number of zero values.
static long	countZero(ShortVector values)	Counts the number of zero values.
static long	countZero(Byte[] values)	Counts the number of zero values.
static long	countZero(Double[] values)	Counts the number of zero values.
static long	countZero(Float[] values)	Counts the number of zero values.
static long	countZero(Integer[] values)	Counts the number of zero values.
static long	countZero(Long[] values)	Counts the number of zero values.
static long	countZero(Short[] values)	Counts the number of zero values.
static double	cov(byte[] values0, byte[] values1)	Returns the covariance.
static double	cov(byte[] values0, double[] values1)	Returns the covariance.
static double	cov(byte[] values0, float[] values1)	Returns the covariance.
static double	cov(byte[] values0, int[] values1)	Returns the covariance.
static double	cov(byte[] values0, long[] values1)	Returns the covariance.
static double	cov(byte[] values0, short[] values1)	Returns the covariance.
static double	cov(byte[] values0, ByteVector values1)	Returns the covariance.
static double	cov(byte[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(byte[] values0, FloatVector values1)	Returns the covariance.
static double	cov(byte[] values0, IntVector values1)	Returns the covariance.
static double	cov(byte[] values0, LongVector values1)	Returns the covariance.
static double	cov(byte[] values0, ShortVector values1)	Returns the covariance.
static double	cov(double[] values0, byte[] values1)	Returns the covariance.
static double	cov(double[] values0, double[] values1)	Returns the covariance.
static double	cov(double[] values0, float[] values1)	Returns the covariance.
static double	cov(double[] values0, int[] values1)	Returns the covariance.
static double	cov(double[] values0, long[] values1)	Returns the covariance.
static double	cov(double[] values0, short[] values1)	Returns the covariance.
static double	cov(double[] values0, ByteVector values1)	Returns the covariance.
static double	cov(double[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(double[] values0, FloatVector values1)	Returns the covariance.
static double	cov(double[] values0, IntVector values1)	Returns the covariance.
static double	cov(double[] values0, LongVector values1)	Returns the covariance.
static double	cov(double[] values0, ShortVector values1)	Returns the covariance.
static double	cov(float[] values0, byte[] values1)	Returns the covariance.
static double	cov(float[] values0, double[] values1)	Returns the covariance.
static double	cov(float[] values0, float[] values1)	Returns the covariance.
static double	cov(float[] values0, int[] values1)	Returns the covariance.
static double	cov(float[] values0, long[] values1)	Returns the covariance.
static double	cov(float[] values0, short[] values1)	Returns the covariance.
static double	cov(float[] values0, ByteVector values1)	Returns the covariance.
static double	cov(float[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(float[] values0, FloatVector values1)	Returns the covariance.
static double	cov(float[] values0, IntVector values1)	Returns the covariance.
static double	cov(float[] values0, LongVector values1)	Returns the covariance.
static double	cov(float[] values0, ShortVector values1)	Returns the covariance.
static double	cov(int[] values0, byte[] values1)	Returns the covariance.
static double	cov(int[] values0, double[] values1)	Returns the covariance.
static double	cov(int[] values0, float[] values1)	Returns the covariance.
static double	cov(int[] values0, int[] values1)	Returns the covariance.
static double	cov(int[] values0, long[] values1)	Returns the covariance.
static double	cov(int[] values0, short[] values1)	Returns the covariance.
static double	cov(int[] values0, ByteVector values1)	Returns the covariance.
static double	cov(int[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(int[] values0, FloatVector values1)	Returns the covariance.
static double	cov(int[] values0, IntVector values1)	Returns the covariance.
static double	cov(int[] values0, LongVector values1)	Returns the covariance.
static double	cov(int[] values0, ShortVector values1)	Returns the covariance.
static double	cov(long[] values0, byte[] values1)	Returns the covariance.
static double	cov(long[] values0, double[] values1)	Returns the covariance.
static double	cov(long[] values0, float[] values1)	Returns the covariance.
static double	cov(long[] values0, int[] values1)	Returns the covariance.
static double	cov(long[] values0, long[] values1)	Returns the covariance.
static double	cov(long[] values0, short[] values1)	Returns the covariance.
static double	cov(long[] values0, ByteVector values1)	Returns the covariance.
static double	cov(long[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(long[] values0, FloatVector values1)	Returns the covariance.
static double	cov(long[] values0, IntVector values1)	Returns the covariance.
static double	cov(long[] values0, LongVector values1)	Returns the covariance.
static double	cov(long[] values0, ShortVector values1)	Returns the covariance.
static double	cov(short[] values0, byte[] values1)	Returns the covariance.
static double	cov(short[] values0, double[] values1)	Returns the covariance.
static double	cov(short[] values0, float[] values1)	Returns the covariance.
static double	cov(short[] values0, int[] values1)	Returns the covariance.
static double	cov(short[] values0, long[] values1)	Returns the covariance.
static double	cov(short[] values0, short[] values1)	Returns the covariance.
static double	cov(short[] values0, ByteVector values1)	Returns the covariance.
static double	cov(short[] values0, DoubleVector values1)	Returns the covariance.
static double	cov(short[] values0, FloatVector values1)	Returns the covariance.
static double	cov(short[] values0, IntVector values1)	Returns the covariance.
static double	cov(short[] values0, LongVector values1)	Returns the covariance.
static double	cov(short[] values0, ShortVector values1)	Returns the covariance.
static double	cov(ByteVector values0, byte[] values1)	Returns the covariance.
static double	cov(ByteVector values0, double[] values1)	Returns the covariance.
static double	cov(ByteVector values0, float[] values1)	Returns the covariance.
static double	cov(ByteVector values0, int[] values1)	Returns the covariance.
static double	cov(ByteVector values0, long[] values1)	Returns the covariance.
static double	cov(ByteVector values0, short[] values1)	Returns the covariance.
static double	cov(ByteVector values0, ByteVector values1)	Returns the covariance.
static double	cov(ByteVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(ByteVector values0, FloatVector values1)	Returns the covariance.
static double	cov(ByteVector values0, IntVector values1)	Returns the covariance.
static double	cov(ByteVector values0, LongVector values1)	Returns the covariance.
static double	cov(ByteVector values0, ShortVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, byte[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, double[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, float[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, int[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, long[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, short[] values1)	Returns the covariance.
static double	cov(DoubleVector values0, ByteVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, FloatVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, IntVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, LongVector values1)	Returns the covariance.
static double	cov(DoubleVector values0, ShortVector values1)	Returns the covariance.
static double	cov(FloatVector values0, byte[] values1)	Returns the covariance.
static double	cov(FloatVector values0, double[] values1)	Returns the covariance.
static double	cov(FloatVector values0, float[] values1)	Returns the covariance.
static double	cov(FloatVector values0, int[] values1)	Returns the covariance.
static double	cov(FloatVector values0, long[] values1)	Returns the covariance.
static double	cov(FloatVector values0, short[] values1)	Returns the covariance.
static double	cov(FloatVector values0, ByteVector values1)	Returns the covariance.
static double	cov(FloatVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(FloatVector values0, FloatVector values1)	Returns the covariance.
static double	cov(FloatVector values0, IntVector values1)	Returns the covariance.
static double	cov(FloatVector values0, LongVector values1)	Returns the covariance.
static double	cov(FloatVector values0, ShortVector values1)	Returns the covariance.
static double	cov(IntVector values0, byte[] values1)	Returns the covariance.
static double	cov(IntVector values0, double[] values1)	Returns the covariance.
static double	cov(IntVector values0, float[] values1)	Returns the covariance.
static double	cov(IntVector values0, int[] values1)	Returns the covariance.
static double	cov(IntVector values0, long[] values1)	Returns the covariance.
static double	cov(IntVector values0, short[] values1)	Returns the covariance.
static double	cov(IntVector values0, ByteVector values1)	Returns the covariance.
static double	cov(IntVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(IntVector values0, FloatVector values1)	Returns the covariance.
static double	cov(IntVector values0, IntVector values1)	Returns the covariance.
static double	cov(IntVector values0, LongVector values1)	Returns the covariance.
static double	cov(IntVector values0, ShortVector values1)	Returns the covariance.
static double	cov(LongVector values0, byte[] values1)	Returns the covariance.
static double	cov(LongVector values0, double[] values1)	Returns the covariance.
static double	cov(LongVector values0, float[] values1)	Returns the covariance.
static double	cov(LongVector values0, int[] values1)	Returns the covariance.
static double	cov(LongVector values0, long[] values1)	Returns the covariance.
static double	cov(LongVector values0, short[] values1)	Returns the covariance.
static double	cov(LongVector values0, ByteVector values1)	Returns the covariance.
static double	cov(LongVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(LongVector values0, FloatVector values1)	Returns the covariance.
static double	cov(LongVector values0, IntVector values1)	Returns the covariance.
static double	cov(LongVector values0, LongVector values1)	Returns the covariance.
static double	cov(LongVector values0, ShortVector values1)	Returns the covariance.
static double	cov(ShortVector values0, byte[] values1)	Returns the covariance.
static double	cov(ShortVector values0, double[] values1)	Returns the covariance.
static double	cov(ShortVector values0, float[] values1)	Returns the covariance.
static double	cov(ShortVector values0, int[] values1)	Returns the covariance.
static double	cov(ShortVector values0, long[] values1)	Returns the covariance.
static double	cov(ShortVector values0, short[] values1)	Returns the covariance.
static double	cov(ShortVector values0, ByteVector values1)	Returns the covariance.
static double	cov(ShortVector values0, DoubleVector values1)	Returns the covariance.
static double	cov(ShortVector values0, FloatVector values1)	Returns the covariance.
static double	cov(ShortVector values0, IntVector values1)	Returns the covariance.
static double	cov(ShortVector values0, LongVector values1)	Returns the covariance.
static double	cov(ShortVector values0, ShortVector values1)	Returns the covariance.
static byte[]	cummax(byte... values)	Returns the cumulative maximum.
static double[]	cummax(double... values)	Returns the cumulative maximum.
static float[]	cummax(float... values)	Returns the cumulative maximum.
static int[]	cummax(int... values)	Returns the cumulative maximum.
static long[]	cummax(long... values)	Returns the cumulative maximum.
static short[]	cummax(short... values)	Returns the cumulative maximum.
static byte[]	cummax(ByteVector values)	Returns the cumulative maximum.
static double[]	cummax(DoubleVector values)	Returns the cumulative maximum.
static float[]	cummax(FloatVector values)	Returns the cumulative maximum.
static int[]	cummax(IntVector values)	Returns the cumulative maximum.
static long[]	cummax(LongVector values)	Returns the cumulative maximum.
static short[]	cummax(ShortVector values)	Returns the cumulative maximum.
static byte[]	cummax(Byte[] values)	Returns the cumulative maximum.
static double[]	cummax(Double[] values)	Returns the cumulative maximum.
static float[]	cummax(Float[] values)	Returns the cumulative maximum.
static int[]	cummax(Integer[] values)	Returns the cumulative maximum.
static long[]	cummax(Long[] values)	Returns the cumulative maximum.
static short[]	cummax(Short[] values)	Returns the cumulative maximum.
static byte[]	cummin(byte... values)	Returns the cumulative minimum.
static double[]	cummin(double... values)	Returns the cumulative minimum.
static float[]	cummin(float... values)	Returns the cumulative minimum.
static int[]	cummin(int... values)	Returns the cumulative minimum.
static long[]	cummin(long... values)	Returns the cumulative minimum.
static short[]	cummin(short... values)	Returns the cumulative minimum.
static byte[]	cummin(ByteVector values)	Returns the cumulative minimum.
static double[]	cummin(DoubleVector values)	Returns the cumulative minimum.
static float[]	cummin(FloatVector values)	Returns the cumulative minimum.
static int[]	cummin(IntVector values)	Returns the cumulative minimum.
static long[]	cummin(LongVector values)	Returns the cumulative minimum.
static short[]	cummin(ShortVector values)	Returns the cumulative minimum.
static byte[]	cummin(Byte[] values)	Returns the cumulative minimum.
static double[]	cummin(Double[] values)	Returns the cumulative minimum.
static float[]	cummin(Float[] values)	Returns the cumulative minimum.
static int[]	cummin(Integer[] values)	Returns the cumulative minimum.
static long[]	cummin(Long[] values)	Returns the cumulative minimum.
static short[]	cummin(Short[] values)	Returns the cumulative minimum.
static long[]	cumprod(byte... values)	Returns the cumulative product.
static double[]	cumprod(double... values)	Returns the cumulative product.
static double[]	cumprod(float... values)	Returns the cumulative product.
static long[]	cumprod(int... values)	Returns the cumulative product.
static long[]	cumprod(long... values)	Returns the cumulative product.
static long[]	cumprod(short... values)	Returns the cumulative product.
static long[]	cumprod(ByteVector values)	Returns the cumulative product.
static double[]	cumprod(DoubleVector values)	Returns the cumulative product.
static double[]	cumprod(FloatVector values)	Returns the cumulative product.
static long[]	cumprod(IntVector values)	Returns the cumulative product.
static long[]	cumprod(LongVector values)	Returns the cumulative product.
static long[]	cumprod(ShortVector values)	Returns the cumulative product.
static long[]	cumprod(Byte[] values)	Returns the cumulative product.
static double[]	cumprod(Double[] values)	Returns the cumulative product.
static double[]	cumprod(Float[] values)	Returns the cumulative product.
static long[]	cumprod(Integer[] values)	Returns the cumulative product.
static long[]	cumprod(Long[] values)	Returns the cumulative product.
static long[]	cumprod(Short[] values)	Returns the cumulative product.
static long[]	cumsum(byte... values)	Returns the cumulative sum.
static double[]	cumsum(double... values)	Returns the cumulative sum.
static double[]	cumsum(float... values)	Returns the cumulative sum.
static long[]	cumsum(int... values)	Returns the cumulative sum.
static long[]	cumsum(long... values)	Returns the cumulative sum.
static long[]	cumsum(short... values)	Returns the cumulative sum.
static long[]	cumsum(ByteVector values)	Returns the cumulative sum.
static double[]	cumsum(DoubleVector values)	Returns the cumulative sum.
static double[]	cumsum(FloatVector values)	Returns the cumulative sum.
static long[]	cumsum(IntVector values)	Returns the cumulative sum.
static long[]	cumsum(LongVector values)	Returns the cumulative sum.
static long[]	cumsum(ShortVector values)	Returns the cumulative sum.
static long[]	cumsum(Byte[] values)	Returns the cumulative sum.
static double[]	cumsum(Double[] values)	Returns the cumulative sum.
static double[]	cumsum(Float[] values)	Returns the cumulative sum.
static long[]	cumsum(Integer[] values)	Returns the cumulative sum.
static long[]	cumsum(Long[] values)	Returns the cumulative sum.
static long[]	cumsum(Short[] values)	Returns the cumulative sum.
static byte	decrementExact(byte x)	Returns the argument decremented by one, throwing an exception if the result overflows.
static int	decrementExact(int x)	Returns the argument decremented by one, throwing an exception if the result overflows.
static long	decrementExact(long x)	Returns the argument decremented by one, throwing an exception if the result overflows.
static short	decrementExact(short x)	Returns the argument decremented by one, throwing an exception if the result overflows.
static byte[]	diff(int stride, byte... values)	Returns the differences between elements in the input vector separated by a stride.
static double[]	diff(int stride, double... values)	Returns the differences between elements in the input vector separated by a stride.
static float[]	diff(int stride, float... values)	Returns the differences between elements in the input vector separated by a stride.
static int[]	diff(int stride, int... values)	Returns the differences between elements in the input vector separated by a stride.
static long[]	diff(int stride, long... values)	Returns the differences between elements in the input vector separated by a stride.
static short[]	diff(int stride, short... values)	Returns the differences between elements in the input vector separated by a stride.
static byte[]	diff(int stride, ByteVector values)	Returns the differences between elements in the input vector separated by a stride.
static double[]	diff(int stride, DoubleVector values)	Returns the differences between elements in the input vector separated by a stride.
static float[]	diff(int stride, FloatVector values)	Returns the differences between elements in the input vector separated by a stride.
static int[]	diff(int stride, IntVector values)	Returns the differences between elements in the input vector separated by a stride.
static long[]	diff(int stride, LongVector values)	Returns the differences between elements in the input vector separated by a stride.
static short[]	diff(int stride, ShortVector values)	Returns the differences between elements in the input vector separated by a stride.
static byte[]	diff(int stride, Byte[] values)	Returns the differences between elements in the input vector separated by a stride.
static double[]	diff(int stride, Double[] values)	Returns the differences between elements in the input vector separated by a stride.
static float[]	diff(int stride, Float[] values)	Returns the differences between elements in the input vector separated by a stride.
static int[]	diff(int stride, Integer[] values)	Returns the differences between elements in the input vector separated by a stride.
static long[]	diff(int stride, Long[] values)	Returns the differences between elements in the input vector separated by a stride.
static short[]	diff(int stride, Short[] values)	Returns the differences between elements in the input vector separated by a stride.
static double	exp(byte value)	Returns Euler's number e raised to a power.
static double	exp(double value)	Returns Euler's number e raised to a power.
static double	exp(float value)	Returns Euler's number e raised to a power.
static double	exp(int value)	Returns Euler's number e raised to a power.
static double	exp(long value)	Returns Euler's number e raised to a power.
static double	exp(short value)	Returns Euler's number e raised to a power.
static double	expm1(byte x)	Returns e^x - 1.
static double	expm1(double x)	Returns e^x - 1.
static double	expm1(float x)	Returns e^x - 1.
static double	expm1(int x)	Returns e^x - 1.
static double	expm1(long x)	Returns e^x - 1.
static double	expm1(short x)	Returns e^x - 1.
static double	floor(byte value)	Returns the floor.
static double	floor(double value)	Returns the floor.
static double	floor(float value)	Returns the floor.
static double	floor(int value)	Returns the floor.
static double	floor(long value)	Returns the floor.
static double	floor(short value)	Returns the floor.
static byte	floorDiv(byte x, byte y)	Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.
static int	floorDiv(int x, int y)	Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.
static long	floorDiv(long x, long y)	Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.
static short	floorDiv(short x, short y)	Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.
static byte	floorMod(byte x, byte y)	Returns the floor modulus of the arguments.
static int	floorMod(int x, int y)	Returns the floor modulus of the arguments.
static long	floorMod(long x, long y)	Returns the floor modulus of the arguments.
static short	floorMod(short x, short y)	Returns the floor modulus of the arguments.
static int	getExponent(double x)	Returns the unbiased exponent used in the representation of the argument.
static int	getExponent(float x)	Returns the unbiased exponent used in the representation of the argument.
static double	hypot(byte x, byte y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	hypot(double x, double y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	hypot(float x, float y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	hypot(int x, int y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	hypot(long x, long y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	hypot(short x, short y)	Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.
static double	IEEEremainder(double x, double y)	Returns the IEEE 754 remainder of the division of the arguments.
static float	IEEEremainder(float x, float y)	Returns the IEEE 754 remainder of the division of the arguments.
static byte	incrementExact(byte x)	Returns the argument incremented by one, throwing an exception if the result overflows.
static int	incrementExact(int x)	Returns the argument incremented by one, throwing an exception if the result overflows.
static long	incrementExact(long x)	Returns the argument incremented by one, throwing an exception if the result overflows.
static short	incrementExact(short x)	Returns the argument incremented by one, throwing an exception if the result overflows.
static long	indexOfMax(byte... values)	Returns the index of the maximum value.
static long	indexOfMax(double... values)	Returns the index of the maximum value.
static long	indexOfMax(float... values)	Returns the index of the maximum value.
static long	indexOfMax(int... values)	Returns the index of the maximum value.
static long	indexOfMax(long... values)	Returns the index of the maximum value.
static long	indexOfMax(short... values)	Returns the index of the maximum value.
static long	indexOfMax(ByteVector values)	Returns the index of the maximum value.
static long	indexOfMax(DoubleVector values)	Returns the index of the maximum value.
static long	indexOfMax(FloatVector values)	Returns the index of the maximum value.
static long	indexOfMax(IntVector values)	Returns the index of the maximum value.
static long	indexOfMax(LongVector values)	Returns the index of the maximum value.
static long	indexOfMax(ShortVector values)	Returns the index of the maximum value.
static long	indexOfMax(Byte[] values)	Returns the index of the maximum value.
static long	indexOfMax(Double[] values)	Returns the index of the maximum value.
static long	indexOfMax(Float[] values)	Returns the index of the maximum value.
static long	indexOfMax(Integer[] values)	Returns the index of the maximum value.
static long	indexOfMax(Long[] values)	Returns the index of the maximum value.
static long	indexOfMax(Short[] values)	Returns the index of the maximum value.
static <T extends Comparable<T>> long	indexOfMaxObj(ObjectVector<T> values)	Returns the index of the maximum value.
static <T extends Comparable<T>> long	indexOfMaxObj(T... values)	Returns the index of the maximum value.
static long	indexOfMin(byte... values)	Returns the index of the minimum value.
static long	indexOfMin(double... values)	Returns the index of the minimum value.
static long	indexOfMin(float... values)	Returns the index of the minimum value.
static long	indexOfMin(int... values)	Returns the index of the minimum value.
static long	indexOfMin(long... values)	Returns the index of the minimum value.
static long	indexOfMin(short... values)	Returns the index of the minimum value.
static long	indexOfMin(ByteVector values)	Returns the index of the minimum value.
static long	indexOfMin(DoubleVector values)	Returns the index of the minimum value.
static long	indexOfMin(FloatVector values)	Returns the index of the minimum value.
static long	indexOfMin(IntVector values)	Returns the index of the minimum value.
static long	indexOfMin(LongVector values)	Returns the index of the minimum value.
static long	indexOfMin(ShortVector values)	Returns the index of the minimum value.
static long	indexOfMin(Byte[] values)	Returns the index of the minimum value.
static long	indexOfMin(Double[] values)	Returns the index of the minimum value.
static long	indexOfMin(Float[] values)	Returns the index of the minimum value.
static long	indexOfMin(Integer[] values)	Returns the index of the minimum value.
static long	indexOfMin(Long[] values)	Returns the index of the minimum value.
static long	indexOfMin(Short[] values)	Returns the index of the minimum value.
static <T extends Comparable<T>> long	indexOfMinObj(ObjectVector<T> values)	Returns the index of the minimum value.
static <T extends Comparable<T>> long	indexOfMinObj(T... values)	Returns the index of the minimum value.
static boolean	isFinite(byte value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(double value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(float value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(int value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(long value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(short value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Byte value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Double value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Float value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Integer value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Long value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isFinite(Short value)	Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.
static boolean	isInf(byte value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(double value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(float value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(int value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(long value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(short value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Byte value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Double value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Float value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Integer value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Long value)	Returns true if the value is infinite and false otherwise.
static boolean	isInf(Short value)	Returns true if the value is infinite and false otherwise.
static boolean	isNaN(byte value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(double value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(float value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(int value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(long value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(short value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Byte value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Double value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Float value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Integer value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Long value)	Returns true if the value is NaN and false otherwise.
static boolean	isNaN(Short value)	Returns true if the value is NaN and false otherwise.
static double	log(byte value)	Returns the natural logarithm (base e).
static double	log(double value)	Returns the natural logarithm (base e).
static double	log(float value)	Returns the natural logarithm (base e).
static double	log(int value)	Returns the natural logarithm (base e).
static double	log(long value)	Returns the natural logarithm (base e).
static double	log(short value)	Returns the natural logarithm (base e).
static double	log10(byte x)	Returns the base 10 logarithm of a value.
static double	log10(double x)	Returns the base 10 logarithm of a value.
static double	log10(float x)	Returns the base 10 logarithm of a value.
static double	log10(int x)	Returns the base 10 logarithm of a value.
static double	log10(long x)	Returns the base 10 logarithm of a value.
static double	log10(short x)	Returns the base 10 logarithm of a value.
static double	log1p(byte x)	Returns the natural logarithm of the sum of the argument and 1.
static double	log1p(double x)	Returns the natural logarithm of the sum of the argument and 1.
static double	log1p(float x)	Returns the natural logarithm of the sum of the argument and 1.
static double	log1p(int x)	Returns the natural logarithm of the sum of the argument and 1.
static double	log1p(long x)	Returns the natural logarithm of the sum of the argument and 1.
static double	log1p(short x)	Returns the natural logarithm of the sum of the argument and 1.
static byte	lowerBin(byte value, byte interval)	Returns the lower bound of the bin containing the value.
static byte	lowerBin(byte value, byte interval, byte offset)	Returns the lower bound of the bin containing the value.
static double	lowerBin(double value, double interval)	Returns the lower bound of the bin containing the value.
static double	lowerBin(double value, double interval, double offset)	Returns the lower bound of the bin containing the value.
static float	lowerBin(float value, float interval)	Returns the lower bound of the bin containing the value.
static float	lowerBin(float value, float interval, float offset)	Returns the lower bound of the bin containing the value.
static int	lowerBin(int value, int interval)	Returns the lower bound of the bin containing the value.
static int	lowerBin(int value, int interval, int offset)	Returns the lower bound of the bin containing the value.
static long	lowerBin(long value, long interval)	Returns the lower bound of the bin containing the value.
static long	lowerBin(long value, long interval, long offset)	Returns the lower bound of the bin containing the value.
static short	lowerBin(short value, short interval)	Returns the lower bound of the bin containing the value.
static short	lowerBin(short value, short interval, short offset)	Returns the lower bound of the bin containing the value.
static byte	max(byte... values)	Returns the maximum.
static double	max(double... values)	Returns the maximum.
static float	max(float... values)	Returns the maximum.
static int	max(int... values)	Returns the maximum.
static long	max(long... values)	Returns the maximum.
static short	max(short... values)	Returns the maximum.
static byte	max(ByteVector values)	Returns the maximum.
static double	max(DoubleVector values)	Returns the maximum.
static float	max(FloatVector values)	Returns the maximum.
static int	max(IntVector values)	Returns the maximum.
static long	max(LongVector values)	Returns the maximum.
static short	max(ShortVector values)	Returns the maximum.
static byte	max(Byte[] values)	Returns the maximum.
static double	max(Double[] values)	Returns the maximum.
static float	max(Float[] values)	Returns the maximum.
static int	max(Integer[] values)	Returns the maximum.
static long	max(Long[] values)	Returns the maximum.
static short	max(Short[] values)	Returns the maximum.
static <T extends Comparable<T>> T	maxObj(ObjectVector<T> values)	Returns the maximum.
static <T extends Comparable<T>> T	maxObj(T... values)	Returns the maximum.
static double	median(byte... values)	Returns the median.
static double	median(double... values)	Returns the median.
static double	median(float... values)	Returns the median.
static double	median(int... values)	Returns the median.
static double	median(long... values)	Returns the median.
static double	median(short... values)	Returns the median.
static double	median(ByteVector values)	Returns the median.
static double	median(DoubleVector values)	Returns the median.
static double	median(FloatVector values)	Returns the median.
static double	median(IntVector values)	Returns the median.
static double	median(LongVector values)	Returns the median.
static double	median(ShortVector values)	Returns the median.
static double	median(Byte[] values)	Returns the median.
static double	median(Double[] values)	Returns the median.
static double	median(Float[] values)	Returns the median.
static double	median(Integer[] values)	Returns the median.
static double	median(Long[] values)	Returns the median.
static double	median(Short[] values)	Returns the median.
static byte	min(byte... values)	Returns the minimum.
static double	min(double... values)	Returns the minimum.
static float	min(float... values)	Returns the minimum.
static int	min(int... values)	Returns the minimum.
static long	min(long... values)	Returns the minimum.
static short	min(short... values)	Returns the minimum.
static byte	min(ByteVector values)	Returns the minimum.
static double	min(DoubleVector values)	Returns the minimum.
static float	min(FloatVector values)	Returns the minimum.
static int	min(IntVector values)	Returns the minimum.
static long	min(LongVector values)	Returns the minimum.
static short	min(ShortVector values)	Returns the minimum.
static byte	min(Byte[] values)	Returns the minimum.
static double	min(Double[] values)	Returns the minimum.
static float	min(Float[] values)	Returns the minimum.
static int	min(Integer[] values)	Returns the minimum.
static long	min(Long[] values)	Returns the minimum.
static short	min(Short[] values)	Returns the minimum.
static <T extends Comparable<T>> T	minObj(ObjectVector<T> values)	Returns the minimum.
static <T extends Comparable<T>> T	minObj(T... values)	Returns the minimum.
static byte	multiplyExact(byte x, byte y)	Returns the product of the arguments, throwing an exception if the result overflows.
static int	multiplyExact(int x, int y)	Returns the product of the arguments, throwing an exception if the result overflows.
static long	multiplyExact(long x, long y)	Returns the product of the arguments, throwing an exception if the result overflows.
static short	multiplyExact(short x, short y)	Returns the product of the arguments, throwing an exception if the result overflows.
static byte	negateExact(byte x)	Returns the negation of the argument, throwing an exception if the result overflows.
static int	negateExact(int x)	Returns the negation of the argument, throwing an exception if the result overflows.
static long	negateExact(long x)	Returns the negation of the argument, throwing an exception if the result overflows.
static short	negateExact(short x)	Returns the negation of the argument, throwing an exception if the result overflows.
static double	nextAfter(double start, double direction)	Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static float	nextAfter(float start, float direction)	Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static double	nextDown(double x)	Returns the floating-point number adjacent to the argument in the direction of negative infinity.
static float	nextDown(float x)	Returns the floating-point number adjacent to the argument in the direction of negative infinity.
static double	nextUp(double x)	Returns the floating-point number adjacent to the argument in the direction of positive infinity.
static float	nextUp(float x)	Returns the floating-point number adjacent to the argument in the direction of positive infinity.
static byte	percentile(double percentile, byte... values)	Returns the percentile.
static double	percentile(double percentile, double... values)	Returns the percentile.
static float	percentile(double percentile, float... values)	Returns the percentile.
static int	percentile(double percentile, int... values)	Returns the percentile.
static long	percentile(double percentile, long... values)	Returns the percentile.
static short	percentile(double percentile, short... values)	Returns the percentile.
static byte	percentile(double percentile, ByteVector values)	Returns the percentile.
static double	percentile(double percentile, DoubleVector values)	Returns the percentile.
static float	percentile(double percentile, FloatVector values)	Returns the percentile.
static int	percentile(double percentile, IntVector values)	Returns the percentile.
static long	percentile(double percentile, LongVector values)	Returns the percentile.
static short	percentile(double percentile, ShortVector values)	Returns the percentile.
static double	pow(byte a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(byte a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(byte a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(byte a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(byte a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(byte a, short b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(double a, short b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(float a, short b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(int a, short b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(long a, short b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, byte b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, double b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, float b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, int b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, long b)	Returns the value of the first argument raised to the second argument.
static double	pow(short a, short b)	Returns the value of the first argument raised to the second argument.
static long	product(byte... values)	Returns the product.
static double	product(double... values)	Returns the product.
static double	product(float... values)	Returns the product.
static long	product(int... values)	Returns the product.
static long	product(long... values)	Returns the product.
static long	product(short... values)	Returns the product.
static long	product(ByteVector values)	Returns the product.
static double	product(DoubleVector values)	Returns the product.
static double	product(FloatVector values)	Returns the product.
static long	product(IntVector values)	Returns the product.
static long	product(LongVector values)	Returns the product.
static long	product(ShortVector values)	Returns the product.
static double[]	replaceIfNaN(double[] values, double replacement)	Replaces values that are NaN with a specified value.
static double	replaceIfNaN(double value, double replacement)	Replaces values that are NaN with a specified value.
static float[]	replaceIfNaN(float[] values, float replacement)	Replaces values that are NaN with a specified value.
static float	replaceIfNaN(float value, float replacement)	Replaces values that are NaN with a specified value.
static double[]	replaceIfNaN(DoubleVector values, double replacement)	Replaces values that are NaN with a specified value.
static float[]	replaceIfNaN(FloatVector values, float replacement)	Replaces values that are NaN with a specified value.
static double[]	replaceIfNonFinite(double[] values, double replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static double	replaceIfNonFinite(double value, double replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static float[]	replaceIfNonFinite(float[] values, float replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static float	replaceIfNonFinite(float value, float replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static double[]	replaceIfNonFinite(DoubleVector values, double replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static float[]	replaceIfNonFinite(FloatVector values, float replacement)	Replaces values that are not finite according to Deephaven convention with a specified value.
static double[]	replaceIfNullNaN(double[] values, double replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static double	replaceIfNullNaN(double value, double replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static float[]	replaceIfNullNaN(float[] values, float replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static float	replaceIfNullNaN(float value, float replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static double[]	replaceIfNullNaN(DoubleVector values, double replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static float[]	replaceIfNullNaN(FloatVector values, float replacement)	Replaces values that are NaN or null according to Deephaven convention with a specified value.
static double	rint(byte value)	Returns the integer closest to the input value.
static double	rint(double value)	Returns the integer closest to the input value.
static double	rint(float value)	Returns the integer closest to the input value.
static double	rint(int value)	Returns the integer closest to the input value.
static double	rint(long value)	Returns the integer closest to the input value.
static double	rint(short value)	Returns the integer closest to the input value.
static long	round(byte value)	Returns the closest integer to the argument.
static long	round(double value)	Returns the closest integer to the argument.
static long	round(float value)	Returns the closest integer to the argument.
static long	round(int value)	Returns the closest integer to the argument.
static long	round(long value)	Returns the closest integer to the argument.
static long	round(short value)	Returns the closest integer to the argument.
static double	scalb(double x, int scaleFactor)	Returns x × 2^scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.
static float	scalb(float x, int scaleFactor)	Returns x × 2^scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the float value set.
static byte[]	sequence(byte start, byte end, byte step)	Returns a sequence of values.
static double[]	sequence(double start, double end, double step)	Returns a sequence of values.
static float[]	sequence(float start, float end, float step)	Returns a sequence of values.
static int[]	sequence(int start, int end, int step)	Returns a sequence of values.
static long[]	sequence(long start, long end, long step)	Returns a sequence of values.
static short[]	sequence(short start, short end, short step)	Returns a sequence of values.
static int	signum(byte value)	Returns the signum function.
static int	signum(double value)	Returns the signum function.
static int	signum(float value)	Returns the signum function.
static int	signum(int value)	Returns the signum function.
static int	signum(long value)	Returns the signum function.
static int	signum(short value)	Returns the signum function.
static double	sin(byte value)	Returns the sine.
static double	sin(double value)	Returns the sine.
static double	sin(float value)	Returns the sine.
static double	sin(int value)	Returns the sine.
static double	sin(long value)	Returns the sine.
static double	sin(short value)	Returns the sine.
static double	sinh(byte x)	Returns the hyperbolic sine of a value.
static double	sinh(double x)	Returns the hyperbolic sine of a value.
static double	sinh(float x)	Returns the hyperbolic sine of a value.
static double	sinh(int x)	Returns the hyperbolic sine of a value.
static double	sinh(long x)	Returns the hyperbolic sine of a value.
static double	sinh(short x)	Returns the hyperbolic sine of a value.
static double	sqrt(byte value)	Returns the square root.
static double	sqrt(double value)	Returns the square root.
static double	sqrt(float value)	Returns the square root.
static double	sqrt(int value)	Returns the square root.
static double	sqrt(long value)	Returns the square root.
static double	sqrt(short value)	Returns the square root.
static double	std(byte... values)	Returns the sample standard deviation.
static double	std(double... values)	Returns the sample standard deviation.
static double	std(float... values)	Returns the sample standard deviation.
static double	std(int... values)	Returns the sample standard deviation.
static double	std(long... values)	Returns the sample standard deviation.
static double	std(short... values)	Returns the sample standard deviation.
static double	std(ByteVector values)	Returns the sample standard deviation.
static double	std(DoubleVector values)	Returns the sample standard deviation.
static double	std(FloatVector values)	Returns the sample standard deviation.
static double	std(IntVector values)	Returns the sample standard deviation.
static double	std(LongVector values)	Returns the sample standard deviation.
static double	std(ShortVector values)	Returns the sample standard deviation.
static double	std(Byte[] values)	Returns the sample standard deviation.
static double	std(Double[] values)	Returns the sample standard deviation.
static double	std(Float[] values)	Returns the sample standard deviation.
static double	std(Integer[] values)	Returns the sample standard deviation.
static double	std(Long[] values)	Returns the sample standard deviation.
static double	std(Short[] values)	Returns the sample standard deviation.
static double	ste(byte... values)	Returns the standard error.
static double	ste(double... values)	Returns the standard error.
static double	ste(float... values)	Returns the standard error.
static double	ste(int... values)	Returns the standard error.
static double	ste(long... values)	Returns the standard error.
static double	ste(short... values)	Returns the standard error.
static double	ste(ByteVector values)	Returns the standard error.
static double	ste(DoubleVector values)	Returns the standard error.
static double	ste(FloatVector values)	Returns the standard error.
static double	ste(IntVector values)	Returns the standard error.
static double	ste(LongVector values)	Returns the standard error.
static double	ste(ShortVector values)	Returns the standard error.
static double	ste(Byte[] values)	Returns the standard error.
static double	ste(Double[] values)	Returns the standard error.
static double	ste(Float[] values)	Returns the standard error.
static double	ste(Integer[] values)	Returns the standard error.
static double	ste(Long[] values)	Returns the standard error.
static double	ste(Short[] values)	Returns the standard error.
static byte	subtractExact(byte x, byte y)	Returns the difference of its arguments, throwing an exception if the result overflows.
static int	subtractExact(int x, int y)	Returns the difference of its arguments, throwing an exception if the result overflows.
static long	subtractExact(long x, long y)	Returns the difference of its arguments, throwing an exception if the result overflows.
static short	subtractExact(short x, short y)	Returns the difference of its arguments, throwing an exception if the result overflows.
static long	sum(byte... values)	Returns the sum.
static double	sum(double... values)	Returns the sum.
static double	sum(float... values)	Returns the sum.
static long	sum(int... values)	Returns the sum.
static long	sum(long... values)	Returns the sum.
static long	sum(short... values)	Returns the sum.
static long	sum(ByteVector values)	Returns the sum.
static double	sum(DoubleVector values)	Returns the sum.
static double	sum(FloatVector values)	Returns the sum.
static long	sum(IntVector values)	Returns the sum.
static long	sum(LongVector values)	Returns the sum.
static long	sum(ShortVector values)	Returns the sum.
static double	tan(byte value)	Returns the tangent.
static double	tan(double value)	Returns the tangent.
static double	tan(float value)	Returns the tangent.
static double	tan(int value)	Returns the tangent.
static double	tan(long value)	Returns the tangent.
static double	tan(short value)	Returns the tangent.
static double	tanh(byte x)	Returns the hyperbolic tangent of a value.
static double	tanh(double x)	Returns the hyperbolic tangent of a value.
static double	tanh(float x)	Returns the hyperbolic tangent of a value.
static double	tanh(int x)	Returns the hyperbolic tangent of a value.
static double	tanh(long x)	Returns the hyperbolic tangent of a value.
static double	tanh(short x)	Returns the hyperbolic tangent of a value.
static short	toByteExact(byte x)	Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.
static short	toByteExact(int x)	Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.
static short	toByteExact(long x)	Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.
static short	toByteExact(short x)	Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.
static double	toDegrees(byte x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static double	toDegrees(double x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static double	toDegrees(float x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static double	toDegrees(int x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static double	toDegrees(long x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static double	toDegrees(short x)	Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static int	toIntExact(byte x)	Returns the value of the argument as an int, throwing an exception if the value overflows an int.
static int	toIntExact(int x)	Returns the value of the argument as an int, throwing an exception if the value overflows an int.
static int	toIntExact(long x)	Returns the value of the argument as an int, throwing an exception if the value overflows an int.
static int	toIntExact(short x)	Returns the value of the argument as an int, throwing an exception if the value overflows an int.
static double	toRadians(byte x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static double	toRadians(double x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static double	toRadians(float x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static double	toRadians(int x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static double	toRadians(long x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static double	toRadians(short x)	Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static short	toShortExact(byte x)	Returns the value of the argument as a short, throwing an exception if the value overflows a short.
static short	toShortExact(int x)	Returns the value of the argument as a short, throwing an exception if the value overflows a short.
static short	toShortExact(long x)	Returns the value of the argument as a short, throwing an exception if the value overflows a short.
static short	toShortExact(short x)	Returns the value of the argument as a short, throwing an exception if the value overflows a short.
static double	tstat(byte... values)	Returns the t-statistic.
static double	tstat(double... values)	Returns the t-statistic.
static double	tstat(float... values)	Returns the t-statistic.
static double	tstat(int... values)	Returns the t-statistic.
static double	tstat(long... values)	Returns the t-statistic.
static double	tstat(short... values)	Returns the t-statistic.
static double	tstat(ByteVector values)	Returns the t-statistic.
static double	tstat(DoubleVector values)	Returns the t-statistic.
static double	tstat(FloatVector values)	Returns the t-statistic.
static double	tstat(IntVector values)	Returns the t-statistic.
static double	tstat(LongVector values)	Returns the t-statistic.
static double	tstat(ShortVector values)	Returns the t-statistic.
static double	tstat(Byte[] values)	Returns the t-statistic.
static double	tstat(Double[] values)	Returns the t-statistic.
static double	tstat(Float[] values)	Returns the t-statistic.
static double	tstat(Integer[] values)	Returns the t-statistic.
static double	tstat(Long[] values)	Returns the t-statistic.
static double	tstat(Short[] values)	Returns the t-statistic.
static double	ulp(double x)	Returns the size of an ulp of the argument.
static float	ulp(float x)	Returns the size of an ulp of the argument.
static byte	upperBin(byte value, byte interval)	Returns the upper bound of the bin containing the value.
static byte	upperBin(byte value, byte interval, byte offset)	Returns the upper bound of the bin containing the value.
static double	upperBin(double value, double interval)	Returns the upper bound of the bin containing the value.
static double	upperBin(double value, double interval, double offset)	Returns the upper bound of the bin containing the value.
static float	upperBin(float value, float interval)	Returns the upper bound of the bin containing the value.
static float	upperBin(float value, float interval, float offset)	Returns the upper bound of the bin containing the value.
static int	upperBin(int value, int interval)	Returns the upper bound of the bin containing the value.
static int	upperBin(int value, int interval, int offset)	Returns the upper bound of the bin containing the value.
static long	upperBin(long value, long interval)	Returns the upper bound of the bin containing the value.
static long	upperBin(long value, long interval, long offset)	Returns the upper bound of the bin containing the value.
static short	upperBin(short value, short interval)	Returns the upper bound of the bin containing the value.
static short	upperBin(short value, short interval, short offset)	Returns the upper bound of the bin containing the value.
static double	var(byte... values)	Returns the sample variance.
static double	var(double... values)	Returns the sample variance.
static double	var(float... values)	Returns the sample variance.
static double	var(int... values)	Returns the sample variance.
static double	var(long... values)	Returns the sample variance.
static double	var(short... values)	Returns the sample variance.
static double	var(ByteVector values)	Returns the sample variance.
static double	var(DoubleVector values)	Returns the sample variance.
static double	var(FloatVector values)	Returns the sample variance.
static double	var(IntVector values)	Returns the sample variance.
static double	var(LongVector values)	Returns the sample variance.
static double	var(ShortVector values)	Returns the sample variance.
static double	var(Byte[] values)	Returns the sample variance.
static double	var(Double[] values)	Returns the sample variance.
static double	var(Float[] values)	Returns the sample variance.
static double	var(Integer[] values)	Returns the sample variance.
static double	var(Long[] values)	Returns the sample variance.
static double	var(Short[] values)	Returns the sample variance.
static double	wavg(byte[] values, byte[] weights)	Returns the weighted average.
static double	wavg(byte[] values, double[] weights)	Returns the weighted average.
static double	wavg(byte[] values, float[] weights)	Returns the weighted average.
static double	wavg(byte[] values, int[] weights)	Returns the weighted average.
static double	wavg(byte[] values, long[] weights)	Returns the weighted average.
static double	wavg(byte[] values, short[] weights)	Returns the weighted average.
static double	wavg(byte[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(byte[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(byte[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(byte[] values, IntVector weights)	Returns the weighted average.
static double	wavg(byte[] values, LongVector weights)	Returns the weighted average.
static double	wavg(byte[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(double[] values, byte[] weights)	Returns the weighted average.
static double	wavg(double[] values, double[] weights)	Returns the weighted average.
static double	wavg(double[] values, float[] weights)	Returns the weighted average.
static double	wavg(double[] values, int[] weights)	Returns the weighted average.
static double	wavg(double[] values, long[] weights)	Returns the weighted average.
static double	wavg(double[] values, short[] weights)	Returns the weighted average.
static double	wavg(double[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(double[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(double[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(double[] values, IntVector weights)	Returns the weighted average.
static double	wavg(double[] values, LongVector weights)	Returns the weighted average.
static double	wavg(double[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(float[] values, byte[] weights)	Returns the weighted average.
static double	wavg(float[] values, double[] weights)	Returns the weighted average.
static double	wavg(float[] values, float[] weights)	Returns the weighted average.
static double	wavg(float[] values, int[] weights)	Returns the weighted average.
static double	wavg(float[] values, long[] weights)	Returns the weighted average.
static double	wavg(float[] values, short[] weights)	Returns the weighted average.
static double	wavg(float[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(float[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(float[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(float[] values, IntVector weights)	Returns the weighted average.
static double	wavg(float[] values, LongVector weights)	Returns the weighted average.
static double	wavg(float[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(int[] values, byte[] weights)	Returns the weighted average.
static double	wavg(int[] values, double[] weights)	Returns the weighted average.
static double	wavg(int[] values, float[] weights)	Returns the weighted average.
static double	wavg(int[] values, int[] weights)	Returns the weighted average.
static double	wavg(int[] values, long[] weights)	Returns the weighted average.
static double	wavg(int[] values, short[] weights)	Returns the weighted average.
static double	wavg(int[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(int[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(int[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(int[] values, IntVector weights)	Returns the weighted average.
static double	wavg(int[] values, LongVector weights)	Returns the weighted average.
static double	wavg(int[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(long[] values, byte[] weights)	Returns the weighted average.
static double	wavg(long[] values, double[] weights)	Returns the weighted average.
static double	wavg(long[] values, float[] weights)	Returns the weighted average.
static double	wavg(long[] values, int[] weights)	Returns the weighted average.
static double	wavg(long[] values, long[] weights)	Returns the weighted average.
static double	wavg(long[] values, short[] weights)	Returns the weighted average.
static double	wavg(long[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(long[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(long[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(long[] values, IntVector weights)	Returns the weighted average.
static double	wavg(long[] values, LongVector weights)	Returns the weighted average.
static double	wavg(long[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(short[] values, byte[] weights)	Returns the weighted average.
static double	wavg(short[] values, double[] weights)	Returns the weighted average.
static double	wavg(short[] values, float[] weights)	Returns the weighted average.
static double	wavg(short[] values, int[] weights)	Returns the weighted average.
static double	wavg(short[] values, long[] weights)	Returns the weighted average.
static double	wavg(short[] values, short[] weights)	Returns the weighted average.
static double	wavg(short[] values, ByteVector weights)	Returns the weighted average.
static double	wavg(short[] values, DoubleVector weights)	Returns the weighted average.
static double	wavg(short[] values, FloatVector weights)	Returns the weighted average.
static double	wavg(short[] values, IntVector weights)	Returns the weighted average.
static double	wavg(short[] values, LongVector weights)	Returns the weighted average.
static double	wavg(short[] values, ShortVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, byte[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, double[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, float[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, int[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, long[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, short[] weights)	Returns the weighted average.
static double	wavg(ByteVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, IntVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, LongVector weights)	Returns the weighted average.
static double	wavg(ByteVector values, ShortVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, byte[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, double[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, float[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, int[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, long[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, short[] weights)	Returns the weighted average.
static double	wavg(DoubleVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, IntVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, LongVector weights)	Returns the weighted average.
static double	wavg(DoubleVector values, ShortVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, byte[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, double[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, float[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, int[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, long[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, short[] weights)	Returns the weighted average.
static double	wavg(FloatVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, IntVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, LongVector weights)	Returns the weighted average.
static double	wavg(FloatVector values, ShortVector weights)	Returns the weighted average.
static double	wavg(IntVector values, byte[] weights)	Returns the weighted average.
static double	wavg(IntVector values, double[] weights)	Returns the weighted average.
static double	wavg(IntVector values, float[] weights)	Returns the weighted average.
static double	wavg(IntVector values, int[] weights)	Returns the weighted average.
static double	wavg(IntVector values, long[] weights)	Returns the weighted average.
static double	wavg(IntVector values, short[] weights)	Returns the weighted average.
static double	wavg(IntVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(IntVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(IntVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(IntVector values, IntVector weights)	Returns the weighted average.
static double	wavg(IntVector values, LongVector weights)	Returns the weighted average.
static double	wavg(IntVector values, ShortVector weights)	Returns the weighted average.
static double	wavg(LongVector values, byte[] weights)	Returns the weighted average.
static double	wavg(LongVector values, double[] weights)	Returns the weighted average.
static double	wavg(LongVector values, float[] weights)	Returns the weighted average.
static double	wavg(LongVector values, int[] weights)	Returns the weighted average.
static double	wavg(LongVector values, long[] weights)	Returns the weighted average.
static double	wavg(LongVector values, short[] weights)	Returns the weighted average.
static double	wavg(LongVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(LongVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(LongVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(LongVector values, IntVector weights)	Returns the weighted average.
static double	wavg(LongVector values, LongVector weights)	Returns the weighted average.
static double	wavg(LongVector values, ShortVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, byte[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, double[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, float[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, int[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, long[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, short[] weights)	Returns the weighted average.
static double	wavg(ShortVector values, ByteVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, DoubleVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, FloatVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, IntVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, LongVector weights)	Returns the weighted average.
static double	wavg(ShortVector values, ShortVector weights)	Returns the weighted average.
static double	wstd(byte[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(byte[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(double[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(float[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(int[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(long[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(short[] values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ByteVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(DoubleVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(FloatVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(IntVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(LongVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, byte[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, double[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, float[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, int[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, long[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, short[] weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, ByteVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, DoubleVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, FloatVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, IntVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, LongVector weights)	Returns the weighted sample standard deviation.
static double	wstd(ShortVector values, ShortVector weights)	Returns the weighted sample standard deviation.
static double	wste(byte[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, double[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, float[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, int[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, long[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, short[] weights)	Returns the weighted standard error.
static double	wste(byte[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(byte[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(byte[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(byte[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(byte[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(byte[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(double[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(double[] values, double[] weights)	Returns the weighted standard error.
static double	wste(double[] values, float[] weights)	Returns the weighted standard error.
static double	wste(double[] values, int[] weights)	Returns the weighted standard error.
static double	wste(double[] values, long[] weights)	Returns the weighted standard error.
static double	wste(double[] values, short[] weights)	Returns the weighted standard error.
static double	wste(double[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(double[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(double[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(double[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(double[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(double[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(float[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(float[] values, double[] weights)	Returns the weighted standard error.
static double	wste(float[] values, float[] weights)	Returns the weighted standard error.
static double	wste(float[] values, int[] weights)	Returns the weighted standard error.
static double	wste(float[] values, long[] weights)	Returns the weighted standard error.
static double	wste(float[] values, short[] weights)	Returns the weighted standard error.
static double	wste(float[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(float[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(float[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(float[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(float[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(float[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(int[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(int[] values, double[] weights)	Returns the weighted standard error.
static double	wste(int[] values, float[] weights)	Returns the weighted standard error.
static double	wste(int[] values, int[] weights)	Returns the weighted standard error.
static double	wste(int[] values, long[] weights)	Returns the weighted standard error.
static double	wste(int[] values, short[] weights)	Returns the weighted standard error.
static double	wste(int[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(int[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(int[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(int[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(int[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(int[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(long[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(long[] values, double[] weights)	Returns the weighted standard error.
static double	wste(long[] values, float[] weights)	Returns the weighted standard error.
static double	wste(long[] values, int[] weights)	Returns the weighted standard error.
static double	wste(long[] values, long[] weights)	Returns the weighted standard error.
static double	wste(long[] values, short[] weights)	Returns the weighted standard error.
static double	wste(long[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(long[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(long[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(long[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(long[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(long[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(short[] values, byte[] weights)	Returns the weighted standard error.
static double	wste(short[] values, double[] weights)	Returns the weighted standard error.
static double	wste(short[] values, float[] weights)	Returns the weighted standard error.
static double	wste(short[] values, int[] weights)	Returns the weighted standard error.
static double	wste(short[] values, long[] weights)	Returns the weighted standard error.
static double	wste(short[] values, short[] weights)	Returns the weighted standard error.
static double	wste(short[] values, ByteVector weights)	Returns the weighted standard error.
static double	wste(short[] values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(short[] values, FloatVector weights)	Returns the weighted standard error.
static double	wste(short[] values, IntVector weights)	Returns the weighted standard error.
static double	wste(short[] values, LongVector weights)	Returns the weighted standard error.
static double	wste(short[] values, ShortVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, double[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, float[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, int[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, long[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, short[] weights)	Returns the weighted standard error.
static double	wste(ByteVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(ByteVector values, ShortVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, double[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, float[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, int[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, long[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, short[] weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(DoubleVector values, ShortVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, double[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, float[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, int[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, long[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, short[] weights)	Returns the weighted standard error.
static double	wste(FloatVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(FloatVector values, ShortVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, double[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, float[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, int[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, long[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, short[] weights)	Returns the weighted standard error.
static double	wste(IntVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(IntVector values, ShortVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, double[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, float[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, int[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, long[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, short[] weights)	Returns the weighted standard error.
static double	wste(LongVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(LongVector values, ShortVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, byte[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, double[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, float[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, int[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, long[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, short[] weights)	Returns the weighted standard error.
static double	wste(ShortVector values, ByteVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, DoubleVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, FloatVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, IntVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, LongVector weights)	Returns the weighted standard error.
static double	wste(ShortVector values, ShortVector weights)	Returns the weighted standard error.
static long	wsum(byte[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(byte[] values, double[] weights)	Returns the weighted sum.
static double	wsum(byte[] values, float[] weights)	Returns the weighted sum.
static long	wsum(byte[] values, int[] weights)	Returns the weighted sum.
static long	wsum(byte[] values, long[] weights)	Returns the weighted sum.
static long	wsum(byte[] values, short[] weights)	Returns the weighted sum.
static long	wsum(byte[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(byte[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(byte[] values, FloatVector weights)	Returns the weighted sum.
static long	wsum(byte[] values, IntVector weights)	Returns the weighted sum.
static long	wsum(byte[] values, LongVector weights)	Returns the weighted sum.
static long	wsum(byte[] values, ShortVector weights)	Returns the weighted sum.
static double	wsum(double[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(double[] values, double[] weights)	Returns the weighted sum.
static double	wsum(double[] values, float[] weights)	Returns the weighted sum.
static double	wsum(double[] values, int[] weights)	Returns the weighted sum.
static double	wsum(double[] values, long[] weights)	Returns the weighted sum.
static double	wsum(double[] values, short[] weights)	Returns the weighted sum.
static double	wsum(double[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(double[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(double[] values, FloatVector weights)	Returns the weighted sum.
static double	wsum(double[] values, IntVector weights)	Returns the weighted sum.
static double	wsum(double[] values, LongVector weights)	Returns the weighted sum.
static double	wsum(double[] values, ShortVector weights)	Returns the weighted sum.
static double	wsum(float[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(float[] values, double[] weights)	Returns the weighted sum.
static double	wsum(float[] values, float[] weights)	Returns the weighted sum.
static double	wsum(float[] values, int[] weights)	Returns the weighted sum.
static double	wsum(float[] values, long[] weights)	Returns the weighted sum.
static double	wsum(float[] values, short[] weights)	Returns the weighted sum.
static double	wsum(float[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(float[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(float[] values, FloatVector weights)	Returns the weighted sum.
static double	wsum(float[] values, IntVector weights)	Returns the weighted sum.
static double	wsum(float[] values, LongVector weights)	Returns the weighted sum.
static double	wsum(float[] values, ShortVector weights)	Returns the weighted sum.
static long	wsum(int[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(int[] values, double[] weights)	Returns the weighted sum.
static double	wsum(int[] values, float[] weights)	Returns the weighted sum.
static long	wsum(int[] values, int[] weights)	Returns the weighted sum.
static long	wsum(int[] values, long[] weights)	Returns the weighted sum.
static long	wsum(int[] values, short[] weights)	Returns the weighted sum.
static long	wsum(int[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(int[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(int[] values, FloatVector weights)	Returns the weighted sum.
static long	wsum(int[] values, IntVector weights)	Returns the weighted sum.
static long	wsum(int[] values, LongVector weights)	Returns the weighted sum.
static long	wsum(int[] values, ShortVector weights)	Returns the weighted sum.
static long	wsum(long[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(long[] values, double[] weights)	Returns the weighted sum.
static double	wsum(long[] values, float[] weights)	Returns the weighted sum.
static long	wsum(long[] values, int[] weights)	Returns the weighted sum.
static long	wsum(long[] values, long[] weights)	Returns the weighted sum.
static long	wsum(long[] values, short[] weights)	Returns the weighted sum.
static long	wsum(long[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(long[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(long[] values, FloatVector weights)	Returns the weighted sum.
static long	wsum(long[] values, IntVector weights)	Returns the weighted sum.
static long	wsum(long[] values, LongVector weights)	Returns the weighted sum.
static long	wsum(long[] values, ShortVector weights)	Returns the weighted sum.
static long	wsum(short[] values, byte[] weights)	Returns the weighted sum.
static double	wsum(short[] values, double[] weights)	Returns the weighted sum.
static double	wsum(short[] values, float[] weights)	Returns the weighted sum.
static long	wsum(short[] values, int[] weights)	Returns the weighted sum.
static long	wsum(short[] values, long[] weights)	Returns the weighted sum.
static long	wsum(short[] values, short[] weights)	Returns the weighted sum.
static long	wsum(short[] values, ByteVector weights)	Returns the weighted sum.
static double	wsum(short[] values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(short[] values, FloatVector weights)	Returns the weighted sum.
static long	wsum(short[] values, IntVector weights)	Returns the weighted sum.
static long	wsum(short[] values, LongVector weights)	Returns the weighted sum.
static long	wsum(short[] values, ShortVector weights)	Returns the weighted sum.
static long	wsum(ByteVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(ByteVector values, double[] weights)	Returns the weighted sum.
static double	wsum(ByteVector values, float[] weights)	Returns the weighted sum.
static long	wsum(ByteVector values, int[] weights)	Returns the weighted sum.
static long	wsum(ByteVector values, long[] weights)	Returns the weighted sum.
static long	wsum(ByteVector values, short[] weights)	Returns the weighted sum.
static long	wsum(ByteVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(ByteVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(ByteVector values, FloatVector weights)	Returns the weighted sum.
static long	wsum(ByteVector values, IntVector weights)	Returns the weighted sum.
static long	wsum(ByteVector values, LongVector weights)	Returns the weighted sum.
static long	wsum(ByteVector values, ShortVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, double[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, float[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, int[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, long[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, short[] weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, FloatVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, IntVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, LongVector weights)	Returns the weighted sum.
static double	wsum(DoubleVector values, ShortVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, double[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, float[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, int[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, long[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, short[] weights)	Returns the weighted sum.
static double	wsum(FloatVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, FloatVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, IntVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, LongVector weights)	Returns the weighted sum.
static double	wsum(FloatVector values, ShortVector weights)	Returns the weighted sum.
static long	wsum(IntVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(IntVector values, double[] weights)	Returns the weighted sum.
static double	wsum(IntVector values, float[] weights)	Returns the weighted sum.
static long	wsum(IntVector values, int[] weights)	Returns the weighted sum.
static long	wsum(IntVector values, long[] weights)	Returns the weighted sum.
static long	wsum(IntVector values, short[] weights)	Returns the weighted sum.
static long	wsum(IntVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(IntVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(IntVector values, FloatVector weights)	Returns the weighted sum.
static long	wsum(IntVector values, IntVector weights)	Returns the weighted sum.
static long	wsum(IntVector values, LongVector weights)	Returns the weighted sum.
static long	wsum(IntVector values, ShortVector weights)	Returns the weighted sum.
static long	wsum(LongVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(LongVector values, double[] weights)	Returns the weighted sum.
static double	wsum(LongVector values, float[] weights)	Returns the weighted sum.
static long	wsum(LongVector values, int[] weights)	Returns the weighted sum.
static long	wsum(LongVector values, long[] weights)	Returns the weighted sum.
static long	wsum(LongVector values, short[] weights)	Returns the weighted sum.
static long	wsum(LongVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(LongVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(LongVector values, FloatVector weights)	Returns the weighted sum.
static long	wsum(LongVector values, IntVector weights)	Returns the weighted sum.
static long	wsum(LongVector values, LongVector weights)	Returns the weighted sum.
static long	wsum(LongVector values, ShortVector weights)	Returns the weighted sum.
static long	wsum(ShortVector values, byte[] weights)	Returns the weighted sum.
static double	wsum(ShortVector values, double[] weights)	Returns the weighted sum.
static double	wsum(ShortVector values, float[] weights)	Returns the weighted sum.
static long	wsum(ShortVector values, int[] weights)	Returns the weighted sum.
static long	wsum(ShortVector values, long[] weights)	Returns the weighted sum.
static long	wsum(ShortVector values, short[] weights)	Returns the weighted sum.
static long	wsum(ShortVector values, ByteVector weights)	Returns the weighted sum.
static double	wsum(ShortVector values, DoubleVector weights)	Returns the weighted sum.
static double	wsum(ShortVector values, FloatVector weights)	Returns the weighted sum.
static long	wsum(ShortVector values, IntVector weights)	Returns the weighted sum.
static long	wsum(ShortVector values, LongVector weights)	Returns the weighted sum.
static long	wsum(ShortVector values, ShortVector weights)	Returns the weighted sum.
static double	wtstat(byte[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(byte[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(double[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(int[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(long[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(short[] values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(ByteVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(DoubleVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(FloatVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(IntVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(LongVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, byte[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, ByteVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, DoubleVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, FloatVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, IntVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, LongVector weights)	Returns the weighted t-statistic.
static double	wtstat(ShortVector values, ShortVector weights)	Returns the weighted t-statistic.
static double	wvar(byte[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(byte[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(double[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(double[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(float[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(float[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(int[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(int[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(long[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(long[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, double[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, float[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, int[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, long[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, short[] weights)	Returns the weighted sample variance.
static double	wvar(short[] values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(short[] values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(ByteVector values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(DoubleVector values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(FloatVector values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(IntVector values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(LongVector values, ShortVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, byte[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, double[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, float[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, int[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, long[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, short[] weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, ByteVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, DoubleVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, FloatVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, IntVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, LongVector weights)	Returns the weighted sample variance.
static double	wvar(ShortVector values, ShortVector weights)	Returns the weighted sample variance.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

E

public static final double E

The double value that is closer than any other to e, the base of the natural logarithms.

See Also:

• Constant Field Values

PI

public static final double PI

The double value that is closer than any other to pi, the ratio of the circumference of a circle to its diameter.

See Also:

• Constant Field Values

Constructor Details

Numeric

public Numeric()

Method Details

maxObj

public static <T extends Comparable<T>> T maxObj(ObjectVector<T> values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

maxObj

@SafeVarargs
public static <T extends Comparable<T>> T maxObj(T... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

minObj

public static <T extends Comparable<T>> T minObj(ObjectVector<T> values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

minObj

@SafeVarargs
public static <T extends Comparable<T>> T minObj(T... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMaxObj

@SafeVarargs
public static <T extends Comparable<T>> long indexOfMaxObj(T... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMaxObj

public static <T extends Comparable<T>> long indexOfMaxObj(ObjectVector<T> values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMinObj

@SafeVarargs
public static <T extends Comparable<T>> long indexOfMinObj(T... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMinObj

public static <T extends Comparable<T>> long indexOfMinObj(ObjectVector<T> values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

countPos

public static long countPos(Byte[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(byte... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(ByteVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Byte[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(byte... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(ByteVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Byte[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(byte... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(ByteVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Byte[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(byte... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(ByteVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Byte[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(byte... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(ByteVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Byte[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(byte... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(ByteVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(byte[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ByteVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Byte[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(byte... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(ByteVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(byte[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ByteVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Byte[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(byte... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(ByteVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(byte[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(byte[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ByteVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Byte[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(byte... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(ByteVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(byte[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ByteVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static byte max(ByteVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static byte max(byte... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static byte max(Byte[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static byte min(ByteVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static byte min(byte... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static byte min(Byte[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Byte[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(byte... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(ByteVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Byte[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(byte... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(ByteVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Byte[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(byte... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(ByteVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static byte percentile(double percentile,
 byte... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static byte percentile(double percentile,
 ByteVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(byte[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(byte[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(byte[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(byte[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(byte[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(byte[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(byte[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ByteVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(byte[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(byte[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ByteVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static long sum(ByteVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static long sum(byte... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static long product(ByteVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static long product(byte... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static byte[] diff(int stride,
 Byte[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static byte[] diff(int stride,
 byte... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static byte[] diff(int stride,
 ByteVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static byte[] cummin(Byte[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static byte[] cummin(byte... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static byte[] cummin(ByteVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static byte[] cummax(Byte[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static byte[] cummax(byte... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static byte[] cummax(ByteVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static long[] cumsum(Byte[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(byte... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(ByteVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static long[] cumprod(Byte[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(byte... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(ByteVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static byte abs(byte value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(byte value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(byte value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(byte value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(byte value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(byte value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(byte value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(byte value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(byte value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(byte a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(byte a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(byte a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(byte a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(byte a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(byte a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(byte value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(byte value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(byte value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(byte value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(byte value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(byte value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static byte lowerBin(byte value,
 byte interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static byte lowerBin(byte value,
 byte interval,
 byte offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static byte upperBin(byte value,
 byte interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static byte upperBin(byte value,
 byte interval,
 byte offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static byte clamp(byte value,
 byte min,
 byte max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static long wsum(byte[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(byte[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(byte[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(byte[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(byte[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(byte[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(byte[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(byte[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ByteVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(byte[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(byte[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ByteVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ByteVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(byte[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(byte[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ByteVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ByteVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(byte[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(byte[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ByteVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static byte[] sequence(byte start,
 byte end,
 byte step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Byte value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(byte value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Byte value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(byte value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Byte value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(byte value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Byte[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(byte)

containsNonFinite

public static boolean containsNonFinite(byte... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(byte)

compare

public static int compare(byte v1,
 byte v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Byte v1,
 Byte v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(byte y,
 byte x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(byte x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(byte x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(byte x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(byte x,
 byte y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(byte x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(byte x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

sinh

public static double sinh(byte x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(byte x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static byte copySign(byte magnitude,
 byte sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

addExact

public static byte addExact(byte x,
 byte y)

Returns the sum of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of adding the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

subtractExact

public static byte subtractExact(byte x,
 byte y)

Returns the difference of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of subtracting the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

multiplyExact

public static byte multiplyExact(byte x,
 byte y)

Returns the product of the arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of multiplying the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

incrementExact

public static byte incrementExact(byte x)

Returns the argument incremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to increment.

Returns:

the result of increment by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

decrementExact

public static byte decrementExact(byte x)

Returns the argument decremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to decrement.

Returns:

the result of decrementing by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

negateExact

public static byte negateExact(byte x)

Returns the negation of the argument, throwing an exception if the result overflows.

Parameters:

x - the value to negate.

Returns:

the negation of the argument. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

floorDiv

public static byte floorDiv(byte x,
 byte y)

Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient. If either value is null, returns null.

floorMod

public static byte floorMod(byte x,
 byte y)

Returns the floor modulus of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the floor modulus x. If either value is null, returns null.

toDegrees

public static double toDegrees(byte x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(byte x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

toIntExact

public static int toIntExact(byte x)

Returns the value of the argument as an int, throwing an exception if the value overflows an int.

Parameters:

x - the value.

Returns:

the value as an int. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toShortExact

public static short toShortExact(byte x)

Returns the value of the argument as a short, throwing an exception if the value overflows a short.

Parameters:

x - the value.

Returns:

the value as a short. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toByteExact

public static short toByteExact(byte x)

Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.

Parameters:

x - the value.

Returns:

the value as a byte. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

countPos

public static long countPos(Short[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(short... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(ShortVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Short[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(short... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(ShortVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Short[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(short... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(ShortVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Short[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(short... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(ShortVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Short[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(short... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(ShortVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Short[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(short... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(ShortVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(short[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(short[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(ShortVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Short[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(short... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(ShortVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(short[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(ShortVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Short[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(short... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(ShortVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(short[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(short[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(ShortVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Short[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(short... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(ShortVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(short[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(ShortVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static short max(ShortVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static short max(short... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static short max(Short[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static short min(ShortVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static short min(short... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static short min(Short[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Short[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(short... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(ShortVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Short[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(short... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(ShortVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Short[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(short... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(ShortVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static short percentile(double percentile,
 short... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static short percentile(double percentile,
 ShortVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(short[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(short[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(short[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(short[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(short[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(short[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(short[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(ShortVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(short[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(short[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(ShortVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static long sum(ShortVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static long sum(short... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static long product(ShortVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static long product(short... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static short[] diff(int stride,
 Short[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static short[] diff(int stride,
 short... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static short[] diff(int stride,
 ShortVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static short[] cummin(Short[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static short[] cummin(short... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static short[] cummin(ShortVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static short[] cummax(Short[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static short[] cummax(short... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static short[] cummax(ShortVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static long[] cumsum(Short[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(short... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(ShortVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static long[] cumprod(Short[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(short... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(ShortVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static short abs(short value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(short value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(short value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(short value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(short value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(short value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(short value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(short value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(short value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(short a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(short a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(short a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(short a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(short a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(short a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(short value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(short value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(short value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(short value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(short value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(short value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static short lowerBin(short value,
 short interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static short lowerBin(short value,
 short interval,
 short offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static short upperBin(short value,
 short interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static short upperBin(short value,
 short interval,
 short offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static short clamp(short value,
 short min,
 short max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static long wsum(short[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(short[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(short[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(short[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(short[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(short[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(short[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(short[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(ShortVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(short[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(short[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ShortVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ShortVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(short[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(short[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ShortVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(ShortVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(short[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(short[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(ShortVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static short[] sequence(short start,
 short end,
 short step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Short value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(short value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Short value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(short value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Short value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(short value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Short[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(short)

containsNonFinite

public static boolean containsNonFinite(short... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(short)

compare

public static int compare(short v1,
 short v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Short v1,
 Short v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(short y,
 short x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(short x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(short x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(short x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(short x,
 short y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(short x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(short x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

sinh

public static double sinh(short x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(short x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static short copySign(short magnitude,
 short sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

addExact

public static short addExact(short x,
 short y)

Returns the sum of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of adding the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

subtractExact

public static short subtractExact(short x,
 short y)

Returns the difference of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of subtracting the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

multiplyExact

public static short multiplyExact(short x,
 short y)

Returns the product of the arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of multiplying the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

incrementExact

public static short incrementExact(short x)

Returns the argument incremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to increment.

Returns:

the result of increment by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

decrementExact

public static short decrementExact(short x)

Returns the argument decremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to decrement.

Returns:

the result of decrementing by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

negateExact

public static short negateExact(short x)

Returns the negation of the argument, throwing an exception if the result overflows.

Parameters:

x - the value to negate.

Returns:

the negation of the argument. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

floorDiv

public static short floorDiv(short x,
 short y)

Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient. If either value is null, returns null.

floorMod

public static short floorMod(short x,
 short y)

Returns the floor modulus of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the floor modulus x. If either value is null, returns null.

toDegrees

public static double toDegrees(short x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(short x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

toIntExact

public static int toIntExact(short x)

Returns the value of the argument as an int, throwing an exception if the value overflows an int.

Parameters:

x - the value.

Returns:

the value as an int. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toShortExact

public static short toShortExact(short x)

Returns the value of the argument as a short, throwing an exception if the value overflows a short.

Parameters:

x - the value.

Returns:

the value as a short. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toByteExact

public static short toByteExact(short x)

Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.

Parameters:

x - the value.

Returns:

the value as a byte. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

countPos

public static long countPos(Integer[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(int... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(IntVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Integer[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(int... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(IntVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Integer[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(int... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(IntVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Integer[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(int... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(IntVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Integer[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(int... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(IntVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Integer[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(int... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(IntVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(int[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(int[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(IntVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Integer[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(int... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(IntVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(int[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(IntVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Integer[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(int... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(IntVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(int[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(int[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(IntVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Integer[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(int... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(IntVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(int[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(IntVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static int max(IntVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static int max(int... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static int max(Integer[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static int min(IntVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static int min(int... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static int min(Integer[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Integer[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(int... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(IntVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Integer[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(int... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(IntVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Integer[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(int... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(IntVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static int percentile(double percentile,
 int... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static int percentile(double percentile,
 IntVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(int[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(int[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(int[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(int[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(int[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(int[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(int[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(IntVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(int[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(int[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(IntVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static long sum(IntVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static long sum(int... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static long product(IntVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static long product(int... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static int[] diff(int stride,
 Integer[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static int[] diff(int stride,
 int... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static int[] diff(int stride,
 IntVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static int[] cummin(Integer[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static int[] cummin(int... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static int[] cummin(IntVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static int[] cummax(Integer[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static int[] cummax(int... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static int[] cummax(IntVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static long[] cumsum(Integer[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(int... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(IntVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static long[] cumprod(Integer[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(int... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(IntVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static int abs(int value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(int value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(int value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(int value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(int value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(int value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(int value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(int value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(int value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(int a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(int a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(int a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(int a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(int a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(int a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(int value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(int value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(int value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(int value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(int value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(int value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static int lowerBin(int value,
 int interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static int lowerBin(int value,
 int interval,
 int offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static int upperBin(int value,
 int interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static int upperBin(int value,
 int interval,
 int offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static int clamp(int value,
 int min,
 int max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static long wsum(int[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(int[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(int[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(int[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(int[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(int[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(int[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(int[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(IntVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(int[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(int[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(IntVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(IntVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(int[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(int[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(IntVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(IntVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(int[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(int[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(IntVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static int[] sequence(int start,
 int end,
 int step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Integer value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(int value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Integer value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(int value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Integer value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(int value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Integer[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(int)

containsNonFinite

public static boolean containsNonFinite(int... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(int)

compare

public static int compare(int v1,
 int v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Integer v1,
 Integer v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(int y,
 int x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(int x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(int x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(int x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(int x,
 int y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(int x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(int x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

sinh

public static double sinh(int x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(int x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static int copySign(int magnitude,
 int sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

addExact

public static int addExact(int x,
 int y)

Returns the sum of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of adding the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

subtractExact

public static int subtractExact(int x,
 int y)

Returns the difference of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of subtracting the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

multiplyExact

public static int multiplyExact(int x,
 int y)

Returns the product of the arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of multiplying the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

incrementExact

public static int incrementExact(int x)

Returns the argument incremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to increment.

Returns:

the result of increment by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

decrementExact

public static int decrementExact(int x)

Returns the argument decremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to decrement.

Returns:

the result of decrementing by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

negateExact

public static int negateExact(int x)

Returns the negation of the argument, throwing an exception if the result overflows.

Parameters:

x - the value to negate.

Returns:

the negation of the argument. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

floorDiv

public static int floorDiv(int x,
 int y)

Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient. If either value is null, returns null.

floorMod

public static int floorMod(int x,
 int y)

Returns the floor modulus of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the floor modulus x. If either value is null, returns null.

toDegrees

public static double toDegrees(int x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(int x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

toIntExact

public static int toIntExact(int x)

Returns the value of the argument as an int, throwing an exception if the value overflows an int.

Parameters:

x - the value.

Returns:

the value as an int. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toShortExact

public static short toShortExact(int x)

Returns the value of the argument as a short, throwing an exception if the value overflows a short.

Parameters:

x - the value.

Returns:

the value as a short. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toByteExact

public static short toByteExact(int x)

Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.

Parameters:

x - the value.

Returns:

the value as a byte. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

countPos

public static long countPos(Long[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(long... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(LongVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Long[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(long... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(LongVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Long[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(long... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(LongVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Long[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(long... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(LongVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Long[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(long... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(LongVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Long[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(long... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(LongVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(long[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(long[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(LongVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Long[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(long... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(LongVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(long[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(LongVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Long[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(long... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(LongVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(long[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(long[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(LongVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Long[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(long... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(LongVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(long[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(LongVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static long max(LongVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static long max(long... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static long max(Long[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static long min(LongVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static long min(long... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static long min(Long[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Long[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(long... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(LongVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Long[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(long... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(LongVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Long[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(long... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(LongVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static long percentile(double percentile,
 long... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static long percentile(double percentile,
 LongVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(long[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(long[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(long[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(long[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(long[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(long[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(long[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(LongVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(long[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(long[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(LongVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static long sum(LongVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static long sum(long... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static long product(LongVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static long product(long... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static long[] diff(int stride,
 Long[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static long[] diff(int stride,
 long... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static long[] diff(int stride,
 LongVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static long[] cummin(Long[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static long[] cummin(long... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static long[] cummin(LongVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static long[] cummax(Long[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static long[] cummax(long... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static long[] cummax(LongVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static long[] cumsum(Long[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(long... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static long[] cumsum(LongVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static long[] cumprod(Long[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(long... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static long[] cumprod(LongVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static long abs(long value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(long value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(long value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(long value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(long value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(long value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(long value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(long value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(long value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(long a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(long a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(long a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(long a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(long a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(long a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(long value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(long value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(long value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(long value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(long value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(long value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static long lowerBin(long value,
 long interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static long lowerBin(long value,
 long interval,
 long offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static long upperBin(long value,
 long interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static long upperBin(long value,
 long interval,
 long offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static long clamp(long value,
 long min,
 long max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static long wsum(long[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(long[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(long[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(long[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(long[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(long[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static long wsum(long[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(long[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static long wsum(LongVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(long[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(long[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(LongVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(LongVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(long[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(long[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(LongVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(LongVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(long[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(long[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(LongVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static long[] sequence(long start,
 long end,
 long step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Long value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(long value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Long value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(long value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Long value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(long value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Long[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(long)

containsNonFinite

public static boolean containsNonFinite(long... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(long)

compare

public static int compare(long v1,
 long v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Long v1,
 Long v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(long y,
 long x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(long x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(long x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(long x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(long x,
 long y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(long x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(long x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

sinh

public static double sinh(long x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(long x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static long copySign(long magnitude,
 long sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

addExact

public static long addExact(long x,
 long y)

Returns the sum of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of adding the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

subtractExact

public static long subtractExact(long x,
 long y)

Returns the difference of its arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of subtracting the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

multiplyExact

public static long multiplyExact(long x,
 long y)

Returns the product of the arguments, throwing an exception if the result overflows.

Parameters:

x - the first value.

y - the second value.

Returns:

the result of multiplying the arguments. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

incrementExact

public static long incrementExact(long x)

Returns the argument incremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to increment.

Returns:

the result of increment by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

decrementExact

public static long decrementExact(long x)

Returns the argument decremented by one, throwing an exception if the result overflows.

Parameters:

x - the value to decrement.

Returns:

the result of decrementing by one. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

negateExact

public static long negateExact(long x)

Returns the negation of the argument, throwing an exception if the result overflows.

Parameters:

x - the value to negate.

Returns:

the negation of the argument. If the value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

floorDiv

public static long floorDiv(long x,
 long y)

Returns the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the largest (closest to positive infinity) int value that is less than or equal to the algebraic quotient. If either value is null, returns null.

floorMod

public static long floorMod(long x,
 long y)

Returns the floor modulus of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the floor modulus x. If either value is null, returns null.

toDegrees

public static double toDegrees(long x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(long x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

toIntExact

public static int toIntExact(long x)

Returns the value of the argument as an int, throwing an exception if the value overflows an int.

Parameters:

x - the value.

Returns:

the value as an int. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toShortExact

public static short toShortExact(long x)

Returns the value of the argument as a short, throwing an exception if the value overflows a short.

Parameters:

x - the value.

Returns:

the value as a short. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

toByteExact

public static short toByteExact(long x)

Returns the value of the argument as a byte, throwing an exception if the value overflows a byte.

Parameters:

x - the value.

Returns:

the value as a byte. If either value is null, returns null.

Throws:

ArithmeticException - if the result overflows.

countPos

public static long countPos(Float[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(float... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(FloatVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Float[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(float... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(FloatVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Float[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(float... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(FloatVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Float[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(float... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(FloatVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Float[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(float... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(FloatVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Float[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(float... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(FloatVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(float[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(float[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(FloatVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Float[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(float... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(FloatVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(float[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(FloatVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Float[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(float... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(FloatVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(float[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(float[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(FloatVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Float[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(float... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(FloatVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(float[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(FloatVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static float max(FloatVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static float max(float... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static float max(Float[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static float min(FloatVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static float min(float... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static float min(Float[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Float[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(float... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(FloatVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Float[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(float... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(FloatVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Float[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(float... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(FloatVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static float percentile(double percentile,
 float... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static float percentile(double percentile,
 FloatVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(float[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(float[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(float[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(float[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(float[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(float[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(float[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(FloatVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(float[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(float[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(FloatVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static double sum(FloatVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static double sum(float... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static double product(FloatVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static double product(float... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static float[] diff(int stride,
 Float[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static float[] diff(int stride,
 float... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static float[] diff(int stride,
 FloatVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static float[] cummin(Float[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static float[] cummin(float... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static float[] cummin(FloatVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static float[] cummax(Float[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static float[] cummax(float... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static float[] cummax(FloatVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static double[] cumsum(Float[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static double[] cumsum(float... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static double[] cumsum(FloatVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static double[] cumprod(Float[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static double[] cumprod(float... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static double[] cumprod(FloatVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static float abs(float value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(float value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(float value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(float value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(float value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(float value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(float value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(float value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(float value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(float a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(float a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(float a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(float a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(float a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(float a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(float value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(float value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(float value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(float value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(float value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(float value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static float lowerBin(float value,
 float interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static float lowerBin(float value,
 float interval,
 float offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static float upperBin(float value,
 float interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static float upperBin(float value,
 float interval,
 float offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static float clamp(float value,
 float min,
 float max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static double wsum(float[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(float[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(float[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(float[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(float[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(float[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(float[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(FloatVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(float[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(float[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(FloatVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static float[] sequence(float start,
 float end,
 float step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Float value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(float value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Float value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(float value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Float value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(float value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Float[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(float)

containsNonFinite

public static boolean containsNonFinite(float... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(float)

replaceIfNaN

public static float replaceIfNaN(float value,
 float replacement)

Replaces values that are NaN with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is NaN.

Returns:

value, if value is not NaN, replacement otherwise.

replaceIfNaN

public static float[] replaceIfNaN(float[] values,
 float replacement)

Replaces values that are NaN with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN.

Returns:

array containing value, if value is not NaN, replacement otherwise.

replaceIfNaN

public static float[] replaceIfNaN(FloatVector values,
 float replacement)

Replaces values that are NaN with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN.

Returns:

array containing value, if value is not NaN, replacement otherwise.

replaceIfNullNaN

public static float replaceIfNullNaN(float value,
 float replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNullNaN

public static float[] replaceIfNullNaN(float[] values,
 float replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

array containing value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNullNaN

public static float[] replaceIfNullNaN(FloatVector values,
 float replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

array containing value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static float replaceIfNonFinite(float value,
 float replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

value, if value is finite according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static float[] replaceIfNonFinite(float[] values,
 float replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

array containing value, if value is finite according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static float[] replaceIfNonFinite(FloatVector values,
 float replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

array containing value, if value is finite according to Deephaven convention, replacement otherwise.

compare

public static int compare(float v1,
 float v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Float v1,
 Float v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(float y,
 float x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(float x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(float x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(float x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(float x,
 float y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(float x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(float x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

scalb

public static float scalb(float x,
 int scaleFactor)

Returns x × 2^scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the float value set.

Parameters:

x - the value.

scaleFactor - the scale factor.

Returns:

x × 2scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set. If the either value is null, returns null.

sinh

public static double sinh(float x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(float x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static float copySign(float magnitude,
 float sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

getExponent

public static int getExponent(float x)

Returns the unbiased exponent used in the representation of the argument.

Parameters:

x - the value.

Returns:

the unbiased exponent used in the representation of the argument. If the value is null, returns null.

IEEEremainder

public static float IEEEremainder(float x,
 float y)

Returns the IEEE 754 remainder of the division of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the IEEE 754 remainder of the division of the arguments. If either value is null, returns null.

nextAfter

public static float nextAfter(float start,
 float direction)

Returns the floating-point number adjacent to the first argument in the direction of the second argument.

Parameters:

start - the starting value.

direction - the direction.

Returns:

the floating-point number adjacent to the first argument in the direction of the second argument. If either value is null, returns null.

nextUp

public static float nextUp(float x)

Returns the floating-point number adjacent to the argument in the direction of positive infinity.

Parameters:

x - the value.

Returns:

the floating-point number adjacent to the argument in the direction of positive infinity. If the value is null, returns null.

nextDown

public static float nextDown(float x)

Returns the floating-point number adjacent to the argument in the direction of negative infinity.

Parameters:

x - the value.

Returns:

the floating-point number adjacent to the argument in the direction of negative infinity. If the value is null, returns null.

toDegrees

public static double toDegrees(float x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(float x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

ulp

public static float ulp(float x)

Returns the size of an ulp of the argument. An ulp, unit in the last place, of a value is the positive distance between this floating-point value and the value next larger in magnitude. Note that for non-NaN x, ulp(-x) == ulp(x).

Parameters:

x - the value.

Returns:

the size of an ulp of the argument. If the value is null, returns null.

countPos

public static long countPos(Double[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(double... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static long countPos(DoubleVector values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static long countNeg(Double[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(double... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static long countNeg(DoubleVector values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static long countZero(Double[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(double... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static long countZero(DoubleVector values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

avg

public static double avg(Double[] values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(double... values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(DoubleVector values)

Returns the mean. Null values are excluded.

Parameters:

values - values.

Returns:

mean of non-null values.

absAvg

public static double absAvg(Double[] values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(double... values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(DoubleVector values)

Returns the mean of the absolute values of values. Null values are excluded.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Double[] values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(double... values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

var

public static double var(DoubleVector values)

Returns the sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample variance of non-null values.

wvar

public static double wvar(double[] values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 byte[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 ByteVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 short[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 ShortVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 int[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 IntVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 long[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 LongVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 float[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 FloatVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(double[] values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Weighted sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 double[] weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

wvar

public static double wvar(DoubleVector values,
 DoubleVector weights)

Returns the weighted sample variance. Null values are excluded. Sample variance is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample variance of non-null values.

std

public static double std(Double[] values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(double... values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

std

public static double std(DoubleVector values)

Returns the sample standard deviation. Null values are excluded. Sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the sample variance will be an unbiased estimator of population variance.

Parameters:

values - values.

Returns:

sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 byte[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 ByteVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 short[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 ShortVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 int[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 IntVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 long[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 LongVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 float[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 FloatVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(double[] values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 double[] weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

wstd

public static double wstd(DoubleVector values,
 DoubleVector weights)

Returns the weighted sample standard deviation. Null values are excluded. Weighted sample standard deviation is computed using Bessel's correction (https://en.wikipedia.org/wiki/Bessel%27s_correction), which ensures that the weighted sample variance will be an unbiased estimator of weighted population variance.

Parameters:

values - values.

weights - weights

Returns:

weighted sample standard deviation of non-null values.

ste

public static double ste(Double[] values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(double... values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(DoubleVector values)

Returns the standard error. Null values are excluded.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

public static double wste(double[] values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 byte[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 ByteVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 short[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 ShortVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 int[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 IntVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 long[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 LongVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 float[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 FloatVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(double[] values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 double[] weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DoubleVector values,
 DoubleVector weights)

Returns the weighted standard error. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

tstat

public static double tstat(Double[] values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(double... values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(DoubleVector values)

Returns the t-statistic. Null values are excluded.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 byte[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 ByteVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 short[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 ShortVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 int[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 IntVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 long[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 LongVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 float[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 FloatVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(double[] values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 double[] weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DoubleVector values,
 DoubleVector weights)

Returns the weighted t-statistic. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static double max(DoubleVector values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static double max(double... values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

max

public static double max(Double[] values)

Returns the maximum. Null values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null values, or null if there are no non-null values.

min

public static double min(DoubleVector values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static double min(double... values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

min

public static double min(Double[] values)

Returns the minimum. Null values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null values, or null if there are no non-null values.

indexOfMax

public static long indexOfMax(Double[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(double... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static long indexOfMax(DoubleVector values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static long indexOfMin(Double[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(double... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static long indexOfMin(DoubleVector values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

median

public static double median(Double[] values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(double... values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

median

public static double median(DoubleVector values)

Returns the median. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

values - values.

Returns:

median.

percentile

public static double percentile(double percentile,
 double... values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

percentile

public static double percentile(double percentile,
 DoubleVector values)

Returns the percentile. null input values are ignored but NaN values will poison the computation, and NaN will be returned

Parameters:

percentile - percentile to compute.

values - values.

Returns:

percentile, or null value in the Deephaven convention if values is null or empty.

cov

public static double cov(double[] values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 byte[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 ByteVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 byte[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 ByteVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(double[] values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 short[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 ShortVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 short[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 ShortVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(double[] values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 int[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 IntVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 int[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 IntVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(double[] values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 long[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 LongVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 long[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 LongVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(double[] values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 float[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 FloatVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 float[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 FloatVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cov

public static double cov(double[] values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(double[] values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 double[] values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DoubleVector values0,
 DoubleVector values1)

Returns the covariance. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

public static double cor(double[] values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(double[] values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 double[] values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DoubleVector values0,
 DoubleVector values1)

Returns the correlation. Null values are excluded.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static double sum(DoubleVector values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static double sum(double... values)

Returns the sum. Null values are excluded.

Parameters:

values - values.

Returns:

sum of non-null values.

product

public static double product(DoubleVector values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static double product(double... values)

Returns the product. Null values are excluded.

Parameters:

values - values.

Returns:

product of non-null values.

diff

public static double[] diff(int stride,
 Double[] values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value, and e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static double[] diff(int stride,
 double... values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

diff

public static double[] diff(int stride,
 DoubleVector values)

Returns the differences between elements in the input vector separated by a stride. A stride of k returns v(i)=e(i+k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. A stride of -k returns v(i)=e(i-k)-e(i), where v(i) is the ith computed value e(i) is the ith input value. The result has the same length as the input vector. Differences off the end of the input vector are the null value.

Parameters:

stride - number of elements separating the elements to be differenced.

values - input vector.

Returns:

a vector containing the differences between elements.

cummin

public static double[] cummin(Double[] values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static double[] cummin(double... values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummin

public static double[] cummin(DoubleVector values)

Returns the cumulative minimum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative min of non-null values.

cummax

public static double[] cummax(Double[] values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static double[] cummax(double... values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cummax

public static double[] cummax(DoubleVector values)

Returns the cumulative maximum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative max of non-null values.

cumsum

public static double[] cumsum(Double[] values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static double[] cumsum(double... values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static double[] cumsum(DoubleVector values)

Returns the cumulative sum. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static double[] cumprod(Double[] values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static double[] cumprod(double... values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static double[] cumprod(DoubleVector values)

Returns the cumulative product. Null values are excluded.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

abs

public static double abs(double value)

Returns the absolute value.

Parameters:

value - value.

Returns:

absolute value.

acos

public static double acos(double value)

Returns the arc cosine.

Parameters:

value - value.

Returns:

arc cosine.

asin

public static double asin(double value)

Returns the arc sine.

Parameters:

value - value.

Returns:

arc sine.

atan

public static double atan(double value)

Returns the arc tangent.

Parameters:

value - value.

Returns:

arc tangent.

ceil

public static double ceil(double value)

Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.

Parameters:

value - value.

Returns:

ceiling.

cos

public static double cos(double value)

Returns the cosine.

Parameters:

value - value.

Returns:

cosine.

exp

public static double exp(double value)

Returns Euler's number e raised to a power.

Parameters:

value - value.

Returns:

Euler's number e raised to a power.

floor

public static double floor(double value)

Returns the floor. This is the largest integer, which is less than or equal to the value.

Parameters:

value - value.

Returns:

floor.

log

public static double log(double value)

Returns the natural logarithm (base e).

Parameters:

value - value.

Returns:

natural logarithm (base e).

pow

public static double pow(double a,
 byte b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(double a,
 short b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(double a,
 int b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(double a,
 long b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(double a,
 float b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

pow

public static double pow(double a,
 double b)

Returns the value of the first argument raised to the second argument.

Parameters:

a - the base.

b - the exponent.

Returns:

a raised to the b power.

rint

public static double rint(double value)

Returns the integer closest to the input value.

Parameters:

value - value.

Returns:

integer closes to the input value.

round

public static long round(double value)

Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.

Parameters:

value - value.

signum

public static int signum(double value)

Returns the signum function.

Parameters:

value - value.

Returns:

signum function.

sin

public static double sin(double value)

Returns the sine.

Parameters:

value - value.

Returns:

sine.

sqrt

public static double sqrt(double value)

Returns the square root.

Parameters:

value - value.

Returns:

square root.

tan

public static double tan(double value)

Returns the tangent.

Parameters:

value - value.

Returns:

tangent.

lowerBin

public static double lowerBin(double value,
 double interval)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

lower bound of the bin containing the value.

lowerBin

public static double lowerBin(double value,
 double interval,
 double offset)

Returns the lower bound of the bin containing the value. The lower bound of the bin containing the value is equal to interval * floor((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

lower bound of the bin containing the value.

upperBin

public static double upperBin(double value,
 double interval)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil(value / interval).

Parameters:

value - value.

interval - bin width.

Returns:

upper bound of the bin containing the value.

upperBin

public static double upperBin(double value,
 double interval,
 double offset)

Returns the upper bound of the bin containing the value. The upper bound of the bin containing the value is equal to interval * ceil((value-offset) / interval) + offset.

Parameters:

value - value.

interval - bin width.

offset - interval offset

Returns:

upper bound of the bin containing the value.

clamp

public static double clamp(double value,
 double min,
 double max)

Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.

Parameters:

value - value.

min - minimum value.

max - maximum value.

Returns:

value constrained to be in the [min,max] range.

wsum

public static double wsum(double[] values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 byte[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 ByteVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 byte[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 ByteVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(double[] values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 short[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 ShortVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 short[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 ShortVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(double[] values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 int[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 IntVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 int[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 IntVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(double[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 long[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 LongVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 long[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 LongVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(double[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 float[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 FloatVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 float[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 FloatVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wsum

public static double wsum(double[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(double[] values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 double[] weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DoubleVector values,
 DoubleVector weights)

Returns the weighted sum. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

public static double wavg(double[] values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(double[] values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 double[] weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DoubleVector values,
 DoubleVector weights)

Returns the weighted average. Null values are excluded.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sequence

public static double[] sequence(double start,
 double end,
 double step)

Returns a sequence of values.

Parameters:

start - starting value.

end - terminal value.

step - step size.

Returns:

sequence of values from start to end.

isNaN

public static boolean isNaN(Double value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isNaN

public static boolean isNaN(double value)

Returns true if the value is NaN and false otherwise.

Parameters:

value - value.

Returns:

true if the value is NaN and false otherwise.

isInf

public static boolean isInf(Double value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isInf

public static boolean isInf(double value)

Returns true if the value is infinite and false otherwise.

Parameters:

value - value.

Returns:

true if the value is infinite and false otherwise.

isFinite

public static boolean isFinite(Double value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

isFinite

public static boolean isFinite(double value)

Returns true if the value is finite, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

value - value.

Returns:

true if the value is not infinite, NaN, nor null; false otherwise

containsNonFinite

public static boolean containsNonFinite(Double[] values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(double)

containsNonFinite

public static boolean containsNonFinite(double... values)

Returns true if the values contains any non-finite value, where "finite" is defined as not infinite, not NaN, and not null.

Parameters:

values - values.

Returns:

true if any value is not finite; false otherwise.

See Also:

• isFinite(double)

replaceIfNaN

public static double replaceIfNaN(double value,
 double replacement)

Replaces values that are NaN with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is NaN.

Returns:

value, if value is not NaN, replacement otherwise.

replaceIfNaN

public static double[] replaceIfNaN(double[] values,
 double replacement)

Replaces values that are NaN with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN.

Returns:

array containing value, if value is not NaN, replacement otherwise.

replaceIfNaN

public static double[] replaceIfNaN(DoubleVector values,
 double replacement)

Replaces values that are NaN with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN.

Returns:

array containing value, if value is not NaN, replacement otherwise.

replaceIfNullNaN

public static double replaceIfNullNaN(double value,
 double replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNullNaN

public static double[] replaceIfNullNaN(double[] values,
 double replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

array containing value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNullNaN

public static double[] replaceIfNullNaN(DoubleVector values,
 double replacement)

Replaces values that are NaN or null according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is NaN or null according to Deephaven convention.

Returns:

array containing value, if value is neither NaN nor null according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static double replaceIfNonFinite(double value,
 double replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

value - value.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

value, if value is finite according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static double[] replaceIfNonFinite(double[] values,
 double replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

array containing value, if value is finite according to Deephaven convention, replacement otherwise.

replaceIfNonFinite

public static double[] replaceIfNonFinite(DoubleVector values,
 double replacement)

Replaces values that are not finite according to Deephaven convention with a specified value.

Parameters:

values - the values.

replacement - replacement to use when value is not finite according to Deephaven convention.

Returns:

array containing value, if value is finite according to Deephaven convention, replacement otherwise.

compare

public static int compare(double v1,
 double v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

compare

public static int compare(Double v1,
 Double v2)

Compares two specified values. Deephaven null values are less than normal numbers which are less than NaN values.

Parameters:

v1 - the first value to compare.

v2 - the second value to compare.

atan2

public static double atan2(double y,
 double x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:

• If either argument is NaN, then the result is NaN.
• If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
• If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
• If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
• If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
• If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
• If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
• If both arguments are positive infinity, then the result is the double value closest to pi/4.
• If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
• If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
• If both arguments are negative infinity, then the result is the double value closest to -3*pi/4.

The computed result must be within 2 ulps of the exact result. Results must be semi-monotonic.

Parameters:

y - the ordinate coordinate

x - the abscissa coordinate

Returns:

the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in Cartesian coordinates. If either value is null, returns null.

cbrt

public static double cbrt(double x)

Returns the cube root of a value.

Parameters:

x - the value

Returns:

the cube root of the value. If the value is null, returns null.

cosh

public static double cosh(double x)

Returns the hyperbolic cosine.

Parameters:

x - the value

Returns:

the hyperbolic cosine of the value. If the value is null, returns null.

expm1

public static double expm1(double x)

Returns e^x - 1.

Parameters:

x - the value

Returns:

e^x-1. If the value is null, returns null.

hypot

public static double hypot(double x,
 double y)

Returns the hypotenuse of a right-angled triangle, sqrt(x^2 + y^2), without intermediate overflow or underflow.

Parameters:

x - the first value.

y - the second value.

Returns:

the hypotenuse of a right-angled triangle. If either value is null, returns null.

log10

public static double log10(double x)

Returns the base 10 logarithm of a value.

Parameters:

x - the value.

Returns:

the base 10 logarithm of the value. If the value is null, returns null.

log1p

public static double log1p(double x)

Returns the natural logarithm of the sum of the argument and 1.

Parameters:

x - the value.

Returns:

the natural logarithm of the sum of the argument and 1. If the value is null, returns null.

scalb

public static double scalb(double x,
 int scaleFactor)

Returns x × 2^scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.

Parameters:

x - the value.

scaleFactor - the scale factor.

Returns:

x × 2scaleFactor rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set. If the either value is null, returns null.

sinh

public static double sinh(double x)

Returns the hyperbolic sine of a value.

Parameters:

x - the value

Returns:

the hyperbolic sine of the value. If the value is null, returns null.

tanh

public static double tanh(double x)

Returns the hyperbolic tangent of a value.

Parameters:

x - the value

Returns:

the hyperbolic tangent of the value. If the value is null, returns null.

copySign

public static double copySign(double magnitude,
 double sign)

Returns the first argument with the sign of the second argument.

Parameters:

magnitude - the value to return

sign - the sign for the return value

Returns:

the value with the magnitude of the first argument and the sign of the second argument. If either value is null, returns null.

getExponent

public static int getExponent(double x)

Returns the unbiased exponent used in the representation of the argument.

Parameters:

x - the value.

Returns:

the unbiased exponent used in the representation of the argument. If the value is null, returns null.

IEEEremainder

public static double IEEEremainder(double x,
 double y)

Returns the IEEE 754 remainder of the division of the arguments.

Parameters:

x - the dividend.

y - the divisor.

Returns:

the IEEE 754 remainder of the division of the arguments. If either value is null, returns null.

nextAfter

public static double nextAfter(double start,
 double direction)

Returns the floating-point number adjacent to the first argument in the direction of the second argument.

Parameters:

start - the starting value.

direction - the direction.

Returns:

the floating-point number adjacent to the first argument in the direction of the second argument. If either value is null, returns null.

nextUp

public static double nextUp(double x)

Returns the floating-point number adjacent to the argument in the direction of positive infinity.

Parameters:

x - the value.

Returns:

the floating-point number adjacent to the argument in the direction of positive infinity. If the value is null, returns null.

nextDown

public static double nextDown(double x)

Returns the floating-point number adjacent to the argument in the direction of negative infinity.

Parameters:

x - the value.

Returns:

the floating-point number adjacent to the argument in the direction of negative infinity. If the value is null, returns null.

toDegrees

public static double toDegrees(double x)

Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

Parameters:

x - the angle in radians

Returns:

the measurement of the angle x in degrees. If the value is null, returns null.

toRadians

public static double toRadians(double x)

Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Parameters:

x - the angle in degrees

Returns:

the measurement of the angle x in radians. If the value is null, returns null.

ulp

public static double ulp(double x)

Returns the size of an ulp of the argument. An ulp, unit in the last place, of a value is the positive distance between this floating-point value and the value next larger in magnitude. Note that for non-NaN x, ulp(-x) == ulp(x).

Parameters:

x - the value.

Returns:

the size of an ulp of the argument. If the value is null, returns null.