Package com.illumon.iris.libs.primitives

Class FloatNumericPrimitives

java.lang.Object

com.illumon.iris.libs.primitives.FloatNumericPrimitives

public class FloatNumericPrimitives
extends Object

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

Constructor Summary

Constructors

Constructor	Description
FloatNumericPrimitives()

Method Summary

Modifier and Type	Method	Description
static float	abs(float value)	Returns the absolute value.
static double	absAvg(float[] values)	Returns the mean of the absolute values of values.
static double	absAvg(DbFloatArray 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	acos(float value)	Returns the arc cosine.
static double	asin(float value)	Returns the arc sine.
static double	atan(float value)	Returns the arc tangent.
static double	avg(float[] values)	Returns the mean.
static double	avg(DbFloatArray values)	Returns the mean.
static double	avg(Float... values)	Returns the mean.
static int	binSearchIndex(float[] values, float key, BinSearch choiceWhenEquals)	Performs a binary search to find a key.
static int	binSearchIndex(DbFloatArray values, float key, BinSearch choiceWhenEquals)	Performs a binary search to find a key.
static double	ceil(float value)	Returns the ceiling.
static float	clamp(float value, float min, float max)	Constrains the value to be on the [min,max] range.
static double	cor(float[] values0, float[] values1)	Returns the correlation.
static double	cor(float[] values0, DbFloatArray values1)	Returns the correlation.
static double	cor(DbFloatArray values0, float[] values1)	Returns the correlation.
static double	cor(DbFloatArray values0, DbFloatArray values1)	Returns the correlation.
static double	cos(float value)	Returns the cosine.
static int	countNeg(float[] values)	Counts the number of negative values.
static int	countNeg(DbFloatArray values)	Counts the number of negative values.
static int	countNeg(Float... values)	Counts the number of negative values.
static int	countPos(float[] values)	Counts the number of positive values.
static int	countPos(DbFloatArray values)	Counts the number of positive values.
static int	countPos(Float... values)	Counts the number of positive values.
static int	countZero(float[] values)	Counts the number of zero values.
static int	countZero(DbFloatArray values)	Counts the number of zero values.
static int	countZero(Float... values)	Counts the number of zero values.
static double	cov(float[] values0, float[] values1)	Returns the covariance.
static double	cov(float[] values0, DbFloatArray values1)	Returns the covariance.
static double	cov(DbFloatArray values0, float[] values1)	Returns the covariance.
static double	cov(DbFloatArray values0, DbFloatArray values1)	Returns the covariance.
static float[]	cumMax(float[] values)	Returns the cumulative max.
static float[]	cumMin(float[] values)	Returns the cumulative min.
static float[]	cumprod(float[] values)	Returns the cumulative product.
static float[]	cumprod(DbFloatArray values)	Returns the cumulative product.
static float[]	cumprod(Float... values)	Returns the cumulative product.
static float[]	cumsum(float[] values)	Returns the cumulative sum.
static float[]	cumsum(DbFloatArray values)	Returns the cumulative sum.
static float[]	cumsum(Float... values)	Returns the cumulative sum.
static double	exp(float value)	Returns Euler's number e raised to a power.
static int	firstIndexOf(float[] values, float val)	Returns the first index containing the value.
static int	firstIndexOf(DbFloatArray values, float val)	Returns the first index containing the value.
static double	floor(float value)	Returns the floor.
static int	indexOfMax(float[] values)	Returns the index of the maximum value.
static int	indexOfMax(DbFloatArray values)	Returns the index of the maximum value.
static int	indexOfMax(Float... values)	Returns the index of the maximum value.
static int	indexOfMin(float[] values)	Returns the index of the minimum value.
static int	indexOfMin(DbFloatArray values)	Returns the index of the minimum value.
static int	indexOfMin(Float... values)	Returns the index of the minimum value.
static double	log(float value)	Returns the natural logarithm (base e).
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 float	max(float[] values)	Returns the maximum.
static float	max(DbFloatArray values)	Returns the maximum.
static float	max(Float... values)	Returns the maximum.
static double	median(float[] values)	Returns the median.
static double	median(DbFloatArray values)	Returns the median.
static double	median(Float... values)	Returns the median.
static float	min(float[] values)	Returns the minimum.
static float	min(DbFloatArray values)	Returns the minimum.
static float	min(Float... values)	Returns the minimum.
static double	percentile(float[] values, double percentile)	Returns the percentile.
static double	percentile(DbFloatArray values, double percentile)	Returns the percentile.
static double	pow(float a, float b)	Returns the value of the first argument raised to the second argument.
static float	product(float[] values)	Returns the product.
static float	product(DbFloatArray values)	Returns the product.
static int	rawBinSearchIndex(float[] values, float key, BinSearch choiceWhenEquals)	Performs a binary search to find a key.
static int	rawBinSearchIndex(DbFloatArray values, float key, BinSearch choiceWhenEquals)	Performs a binary search to find a key.
static double	rint(float value)	Returns the integer closest to the input value.
static long	round(float value)	Returns the closest integer to the argument.
static float[]	sequence(float start, float end, float step)	Returns a sequence of values.
static float	signum(float value)	Returns the signum function.
static double	sin(float value)	Returns the sine.
static float[]	sort(float[] values)	Returns sorted values from smallest to largest.
static DbFloatArray	sort(DbFloatArray values)	Returns sorted values from smallest to largest.
static float[]	sort(Float... values)	Returns sorted values from smallest to largest.
static float[]	sortDescending(float[] values)	Returns sorted values from largest to smallest.
static DbFloatArray	sortDescending(DbFloatArray values)	Returns sorted values from largest to smallest.
static float[]	sortDescending(Float... values)	Returns sorted values from largest to smallest.
static double	sqrt(float value)	Returns the square root.
static double	std(float[] values)	Returns the standard deviation.
static double	std(DbFloatArray values)	Returns the standard deviation.
static double	std(Float... values)	Returns the standard deviation.
static double	ste(float[] values)	Returns the standard error.
static double	ste(DbFloatArray values)	Returns the standard error.
static double	ste(Float... values)	Returns the standard error.
static float	sum(float[] values)	Returns the sum.
static float[]	sum(float[]... values)	Returns the sum.
static float[]	sum(DbArray<float[]> values)	Returns the sum.
static float	sum(DbFloatArray values)	Returns the sum.
static double	tan(float value)	Returns the tangent.
static double	tstat(float[] values)	Returns the t-statistic.
static double	tstat(DbFloatArray values)	Returns the t-statistic.
static double	tstat(Float... values)	Returns the t-statistic.
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 double	var(float[] values)	Returns the variance.
static double	var(DbFloatArray values)	Returns the variance.
static double	var(Float... values)	Returns the variance.
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, DbDoubleArray weights)	Returns the weighted average.
static double	wavg(float[] values, DbFloatArray weights)	Returns the weighted average.
static double	wavg(float[] values, DbIntArray weights)	Returns the weighted average.
static double	wavg(float[] values, DbLongArray weights)	Returns the weighted average.
static double	wavg(float[] values, DbShortArray weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, double[] weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, float[] weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, int[] weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, long[] weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, short[] weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, DbDoubleArray weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, DbFloatArray weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, DbIntArray weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, DbLongArray weights)	Returns the weighted average.
static double	wavg(DbFloatArray values, DbShortArray weights)	Returns the weighted average.
static double	weightedAvg(float[] values, double[] weights)	Returns the weighted average.
static double	weightedAvg(float[] values, float[] weights)	Returns the weighted average.
static double	weightedAvg(float[] values, int[] weights)	Returns the weighted average.
static double	weightedAvg(float[] values, long[] weights)	Returns the weighted average.
static double	weightedAvg(float[] values, short[] weights)	Returns the weighted average.
static double	weightedAvg(float[] values, DbDoubleArray weights)	Returns the weighted average.
static double	weightedAvg(float[] values, DbFloatArray weights)	Returns the weighted average.
static double	weightedAvg(float[] values, DbIntArray weights)	Returns the weighted average.
static double	weightedAvg(float[] values, DbLongArray weights)	Returns the weighted average.
static double	weightedAvg(float[] values, DbShortArray weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, double[] weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, float[] weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, int[] weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, long[] weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, short[] weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, DbDoubleArray weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, DbFloatArray weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, DbIntArray weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, DbLongArray weights)	Returns the weighted average.
static double	weightedAvg(DbFloatArray values, DbShortArray weights)	Returns the weighted average.
static double	weightedSum(float[] values, double[] weights)	Returns the weighted sum.
static double	weightedSum(float[] values, float[] weights)	Returns the weighted sum.
static double	weightedSum(float[] values, int[] weights)	Returns the weighted sum.
static double	weightedSum(float[] values, long[] weights)	Returns the weighted sum.
static double	weightedSum(float[] values, short[] weights)	Returns the weighted sum.
static double	weightedSum(float[] values, DbDoubleArray weights)	Returns the weighted sum.
static double	weightedSum(float[] values, DbFloatArray weights)	Returns the weighted sum.
static double	weightedSum(float[] values, DbIntArray weights)	Returns the weighted sum.
static double	weightedSum(float[] values, DbLongArray weights)	Returns the weighted sum.
static double	weightedSum(float[] values, DbShortArray weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, double[] weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, float[] weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, int[] weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, long[] weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, short[] weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, DbDoubleArray weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, DbFloatArray weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, DbIntArray weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, DbLongArray weights)	Returns the weighted sum.
static double	weightedSum(DbFloatArray values, DbShortArray weights)	Returns the weighted sum.
static double	wstd(float[] values, double[] weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, float[] weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, int[] weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, long[] weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, short[] weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, DbDoubleArray weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, DbFloatArray weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, DbIntArray weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, DbLongArray weights)	Returns the weighted standard deviation.
static double	wstd(float[] values, DbShortArray weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, double[] weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, float[] weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, int[] weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, long[] weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, short[] weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, DbDoubleArray weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, DbFloatArray weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, DbIntArray weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, DbLongArray weights)	Returns the weighted standard deviation.
static double	wstd(DbFloatArray values, DbShortArray weights)	Returns the weighted standard deviation.
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, DbDoubleArray weights)	Returns the weighted standard error.
static double	wste(float[] values, DbFloatArray weights)	Returns the weighted standard error.
static double	wste(float[] values, DbIntArray weights)	Returns the weighted standard error.
static double	wste(float[] values, DbLongArray weights)	Returns the weighted standard error.
static double	wste(float[] values, DbShortArray weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, double[] weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, float[] weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, int[] weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, long[] weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, short[] weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, DbDoubleArray weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, DbFloatArray weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, DbIntArray weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, DbLongArray weights)	Returns the weighted standard error.
static double	wste(DbFloatArray values, DbShortArray weights)	Returns the weighted standard error.
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, DbDoubleArray weights)	Returns the weighted sum.
static double	wsum(float[] values, DbFloatArray weights)	Returns the weighted sum.
static double	wsum(float[] values, DbIntArray weights)	Returns the weighted sum.
static double	wsum(float[] values, DbLongArray weights)	Returns the weighted sum.
static double	wsum(float[] values, DbShortArray weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, double[] weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, float[] weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, int[] weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, long[] weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, short[] weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, DbDoubleArray weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, DbFloatArray weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, DbIntArray weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, DbLongArray weights)	Returns the weighted sum.
static double	wsum(DbFloatArray values, DbShortArray weights)	Returns the weighted sum.
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, DbDoubleArray weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, DbFloatArray weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, DbIntArray weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, DbLongArray weights)	Returns the weighted t-statistic.
static double	wtstat(float[] values, DbShortArray weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, double[] weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, float[] weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, int[] weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, long[] weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, short[] weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, DbDoubleArray weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, DbFloatArray weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, DbIntArray weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, DbLongArray weights)	Returns the weighted t-statistic.
static double	wtstat(DbFloatArray values, DbShortArray weights)	Returns the weighted t-statistic.
static double	wvar(float[] values, double[] weights)	Returns the weighted variance.
static double	wvar(float[] values, float[] weights)	Returns the weighted variance.
static double	wvar(float[] values, int[] weights)	Returns the weighted variance.
static double	wvar(float[] values, long[] weights)	Returns the weighted variance.
static double	wvar(float[] values, short[] weights)	Returns the weighted variance.
static double	wvar(float[] values, DbDoubleArray weights)	Returns the weighted variance.
static double	wvar(float[] values, DbFloatArray weights)	Returns the weighted variance.
static double	wvar(float[] values, DbIntArray weights)	Returns the weighted variance.
static double	wvar(float[] values, DbLongArray weights)	Returns the weighted variance.
static double	wvar(float[] values, DbShortArray weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, double[] weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, float[] weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, int[] weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, long[] weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, short[] weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, DbDoubleArray weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, DbFloatArray weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, DbIntArray weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, DbLongArray weights)	Returns the weighted variance.
static double	wvar(DbFloatArray values, DbShortArray weights)	Returns the weighted variance.

Methods inherited from class java.lang.Object

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

Constructor Details

FloatNumericPrimitives

public FloatNumericPrimitives()

Method Details

countPos

public static int countPos(Float... values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static int countPos(float[] values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countPos

public static int countPos(DbFloatArray values)

Counts the number of positive values.

Parameters:

values - values.

Returns:

number of positive values.

countNeg

public static int countNeg(Float... values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static int countNeg(float[] values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countNeg

public static int countNeg(DbFloatArray values)

Counts the number of negative values.

Parameters:

values - values.

Returns:

number of negative values.

countZero

public static int countZero(Float... values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static int countZero(float[] values)

Counts the number of zero values.

Parameters:

values - values.

Returns:

number of zero values.

countZero

public static int countZero(DbFloatArray 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. NaN values are included.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(float[] values)

Returns the mean. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

mean of non-null values.

avg

public static double avg(DbFloatArray values)

Returns the mean. Null values are excluded. NaN values are included.

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. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

absAvg

public static double absAvg(DbFloatArray values)

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

Parameters:

values - values.

Returns:

mean of the absolute value of non-null values.

var

public static double var(Float... values)

Returns the variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

variance of non-null values.

var

public static double var(float[] values)

Returns the variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

variance of non-null values.

var

public static double var(DbFloatArray values)

Returns the variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

public static double wvar(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

public static double wvar(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

public static double wvar(DbFloatArray values,
 DbShortArray weights)

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

public static double wvar(DbFloatArray values,
 DbIntArray weights)

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

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

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

wvar

public static double wvar(DbFloatArray values,
 DbLongArray weights)

Returns the weighted variance. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted variance of non-null values.

std

public static double std(Float... values)

Returns the standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

standard deviation of non-null values.

std

public static double std(float[] values)

Returns the standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

standard deviation of non-null values.

std

public static double std(DbFloatArray values)

Returns the standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

public static double wstd(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

public static double wstd(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

public static double wstd(DbFloatArray values,
 DbShortArray weights)

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

public static double wstd(DbFloatArray values,
 DbIntArray weights)

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

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

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

wstd

public static double wstd(DbFloatArray values,
 DbLongArray weights)

Returns the weighted standard deviation. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard deviation of non-null values.

ste

public static double ste(Float... values)

Returns the standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

Returns:

standard error of non-null values.

ste

public static double ste(DbFloatArray values)

Returns the standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DbFloatArray values,
 DbShortArray weights)

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DbFloatArray values,
 DbIntArray weights)

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

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

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted standard error of non-null values.

wste

public static double wste(DbFloatArray values,
 DbLongArray weights)

Returns the weighted standard error. Null values are excluded. NaN values are included.

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. NaN values are included.

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. NaN values are included.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

tstat

public static double tstat(DbFloatArray values)

Returns the t-statistic. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

t-statistic of non-null values.

wtstat

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

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DbFloatArray values,
 DbDoubleArray weights)

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DbFloatArray values,
 DbFloatArray weights)

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DbFloatArray values,
 DbShortArray weights)

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DbFloatArray values,
 DbIntArray weights)

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

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

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

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. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

wtstat

public static double wtstat(DbFloatArray values,
 DbLongArray weights)

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

Parameters:

values - values.

weights - weights

Returns:

weighted t-statistic of non-null values.

max

public static float max(DbFloatArray values)

Returns the maximum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null, non-NaN values.

max

public static float max(float[] values)

Returns the maximum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null, non-NaN values.

max

public static float max(Float... values)

Returns the maximum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

maximum of non-null, non-NaN values.

min

public static float min(DbFloatArray values)

Returns the minimum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null, non-NaN values.

min

public static float min(float[] values)

Returns the minimum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null, non-NaN values.

min

public static float min(Float... values)

Returns the minimum. Null and NaN values are excluded.

Parameters:

values - values.

Returns:

minimum of non-null, non-NaN values.

median

public static double median(Float... values)

Returns the median.

Parameters:

values - values.

Returns:

median.

median

public static double median(float[] values)

Returns the median.

Parameters:

values - values.

Returns:

median.

median

public static double median(DbFloatArray values)

Returns the median.

Parameters:

values - values.

Returns:

median.

percentile

public static double percentile(float[] values,
 double percentile)

Returns the percentile.

Parameters:

values - values.

percentile - percentile to compute.

Returns:

percentile.

percentile

public static double percentile(DbFloatArray values,
 double percentile)

Returns the percentile.

Parameters:

values - values.

percentile - percentile to compute.

Returns:

percentile.

firstIndexOf

public static int firstIndexOf(float[] values,
 float val)

Returns the first index containing the value.

Parameters:

values - values.

val - value to search for.

Returns:

first index containing the value or null, if the value is not present.

firstIndexOf

public static int firstIndexOf(DbFloatArray values,
 float val)

Returns the first index containing the value.

Parameters:

values - values.

val - value to search for.

Returns:

first index containing the value or null, if the value is not present.

indexOfMax

public static int indexOfMax(Float... values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static int indexOfMax(float[] values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMax

public static int indexOfMax(DbFloatArray values)

Returns the index of the maximum value.

Parameters:

values - values.

Returns:

index of the maximum value.

indexOfMin

public static int indexOfMin(Float... values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static int indexOfMin(float[] values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

indexOfMin

public static int indexOfMin(DbFloatArray values)

Returns the index of the minimum value.

Parameters:

values - values.

Returns:

index of the minimum value.

binSearchIndex

public static int binSearchIndex(float[] values,
 float key,
 BinSearch choiceWhenEquals)

Performs a binary search to find a key.

Parameters:

values - sorted values to search.

key - key to search for.

choiceWhenEquals - algorithm used to resolve ties when performing a binary search.

Returns:

index of the search key, if it is contained in the array; otherwise, the index of where the key would be inserted.

binSearchIndex

public static int binSearchIndex(DbFloatArray values,
 float key,
 BinSearch choiceWhenEquals)

Performs a binary search to find a key.

Parameters:

values - sorted values to search.

key - key to search for.

choiceWhenEquals - algorithm used to resolve ties when performing a binary search.

Returns:

index of the search key, if it is contained in the array; otherwise, the index of where the key would be inserted.

rawBinSearchIndex

public static int rawBinSearchIndex(float[] values,
 float key,
 BinSearch choiceWhenEquals)

Performs a binary search to find a key.

Parameters:

values - sorted values to search.

key - key to search for.

choiceWhenEquals - algorithm used to resolve ties when performing a binary search.

Returns:

index of the search key, if it is contained in the array; otherwise, (-(insertion point) - 1).

rawBinSearchIndex

public static int rawBinSearchIndex(DbFloatArray values,
 float key,
 BinSearch choiceWhenEquals)

Performs a binary search to find a key.

Parameters:

values - sorted values to search.

key - key to search for.

choiceWhenEquals - algorithm used to resolve ties when performing a binary search.

Returns:

index of the search key, if it is contained in the array; otherwise, (-(insertion point) - 1).

cov

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

Returns the covariance. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

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

Returns the covariance. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

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

Returns the covariance. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cov

public static double cov(DbFloatArray values0,
 DbFloatArray values1)

Returns the covariance. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

covariance of non-null values.

cor

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

Returns the correlation. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

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

Returns the correlation. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

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

Returns the correlation. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

cor

public static double cor(DbFloatArray values0,
 DbFloatArray values1)

Returns the correlation. Null values are excluded. NaN values are included.

Parameters:

values0 - 1st set of values.

values1 - 2nd set of values.

Returns:

correlation of non-null values.

sum

public static float sum(DbFloatArray values)

Returns the sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static float sum(float[] values)

Returns the sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

sum of non-null values.

sum

public static float[] sum(DbArray<float[]> values)

Returns the sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

array of sums of non-null values.

sum

public static float[] sum(float[]... values)

Returns the sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

array of sums of non-null values.

product

public static float product(DbFloatArray values)

Returns the product. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

product of non-null values.

product

public static float product(float[] values)

Returns the product. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

product of non-null values.

cumMin

public static float[] cumMin(float[] values)

Returns the cumulative min. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumMax

public static float[] cumMax(float[] values)

Returns the cumulative max. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static float[] cumsum(Float... values)

Returns the cumulative sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static float[] cumsum(float[] values)

Returns the cumulative sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumsum

public static float[] cumsum(DbFloatArray values)

Returns the cumulative sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative sum of non-null values.

cumprod

public static float[] cumprod(Float... values)

Returns the cumulative product. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static float[] cumprod(float[] values)

Returns the cumulative product. Null values are excluded. NaN values are included.

Parameters:

values - values.

Returns:

cumulative product of non-null values.

cumprod

public static float[] cumprod(DbFloatArray values)

Returns the cumulative product. Null values are excluded. NaN values are included.

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,
 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.

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 float 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.

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.

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.

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.

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,
 DbFloatArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 DbFloatArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 float[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 float[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 DbDoubleArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 double[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 double[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 DbLongArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 long[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 long[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 long[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 DbLongArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 DbLongArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 DbIntArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 int[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 int[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 DbIntArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 DbIntArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(float[] values,
 DbShortArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 short[] weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

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

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wsum

public static double wsum(DbFloatArray values,
 DbShortArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

weightedSum

public static double weightedSum(DbFloatArray values,
 DbShortArray weights)

Returns the weighted sum. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted sum of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 DbFloatArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 float[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 float[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 DbFloatArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 DbDoubleArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 double[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 double[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 DbDoubleArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 DbLongArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 long[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 long[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DbFloatArray values,
 DbLongArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 DbLongArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 DbIntArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 int[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DbFloatArray values,
 DbIntArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 DbIntArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(float[] values,
 DbShortArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 short[] weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

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

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

wavg

public static double wavg(DbFloatArray values,
 DbShortArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

weightedAvg

public static double weightedAvg(DbFloatArray values,
 DbShortArray weights)

Returns the weighted average. Null values are excluded. NaN values are included.

Parameters:

values - values.

weights - weights

Returns:

weighted average of non-null values.

sort

public static DbFloatArray sort(DbFloatArray values)

Returns sorted values from smallest to largest.

Parameters:

values - values.

Returns:

sorted values.

sort

public static float[] sort(float[] values)

Returns sorted values from smallest to largest.

Parameters:

values - values.

Returns:

sorted values.

sort

public static float[] sort(Float... values)

Returns sorted values from smallest to largest.

Parameters:

values - values.

Returns:

sorted values.

sortDescending

public static DbFloatArray sortDescending(DbFloatArray values)

Returns sorted values from largest to smallest.

Parameters:

values - values.

Returns:

sorted values.

sortDescending

public static float[] sortDescending(float[] values)

Returns sorted values from largest to smallest.

Parameters:

values - values.

Returns:

sorted values.

sortDescending

public static float[] sortDescending(Float... values)

Returns sorted values from largest to smallest.

Parameters:

values - values.

Returns:

sorted 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.