Package com.illumon.iris.libs.primitives
Class ShortNumericPrimitives
java.lang.Object
com.illumon.iris.libs.primitives.ShortNumericPrimitives
public class ShortNumericPrimitives extends Object
A set of commonly used numeric functions that can be applied to Short types.
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Constructor Summary
Constructors Constructor Description ShortNumericPrimitives()
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Method Summary
Modifier and Type Method Description static short
abs(short value)
Returns the absolute value.static double
absAvg(short[] values)
Returns the mean of the absolute values of values.static double
absAvg(DbShortArray 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(short value)
Returns the arc cosine.static double
asin(short value)
Returns the arc sine.static double
atan(short value)
Returns the arc tangent.static double
avg(short[] values)
Returns the mean.static double
avg(DbShortArray values)
Returns the mean.static double
avg(Short... values)
Returns the mean.static int
binSearchIndex(short[] values, short key, BinSearch choiceWhenEquals)
Performs a binary search to find a key.static int
binSearchIndex(DbShortArray values, short key, BinSearch choiceWhenEquals)
Performs a binary search to find a key.static double
ceil(short value)
Returns the ceiling.static short
clamp(short value, short min, short max)
Constrains the value to be on the[min,max]
range.static double
cor(short[] values0, short[] values1)
Returns the correlation.static double
cor(short[] values0, DbShortArray values1)
Returns the correlation.static double
cor(DbShortArray values0, short[] values1)
Returns the correlation.static double
cor(DbShortArray values0, DbShortArray values1)
Returns the correlation.static double
cos(short value)
Returns the cosine.static int
countNeg(short[] values)
Counts the number of negative values.static int
countNeg(DbShortArray values)
Counts the number of negative values.static int
countNeg(Short... values)
Counts the number of negative values.static int
countPos(short[] values)
Counts the number of positive values.static int
countPos(DbShortArray values)
Counts the number of positive values.static int
countPos(Short... values)
Counts the number of positive values.static int
countZero(short[] values)
Counts the number of zero values.static int
countZero(DbShortArray values)
Counts the number of zero values.static int
countZero(Short... values)
Counts the number of zero values.static double
cov(short[] values0, short[] values1)
Returns the covariance.static double
cov(short[] values0, DbShortArray values1)
Returns the covariance.static double
cov(DbShortArray values0, short[] values1)
Returns the covariance.static double
cov(DbShortArray values0, DbShortArray values1)
Returns the covariance.static short[]
cumMax(short... values)
Returns the cumulative minimum.static short[]
cumMin(short... values)
Returns the cumulative minimum.static short[]
cumprod(short[] values)
Returns the cumulative product.static short[]
cumprod(DbShortArray values)
Returns the cumulative product.static short[]
cumprod(Short... values)
Returns the cumulative product.static short[]
cumsum(short[] values)
Returns the cumulative sum.static short[]
cumsum(DbShortArray values)
Returns the cumulative sum.static short[]
cumsum(Short... values)
Returns the cumulative sum.static double
exp(short value)
Returns Euler's number e raised to a power.static int
firstIndexOf(short[] values, short val)
Returns the first index containing the value.static int
firstIndexOf(DbShortArray values, short val)
Returns the first index containing the value.static double
floor(short value)
Returns the floor.static int
indexOfMax(short[] values)
Returns the index of the maximum value.static int
indexOfMax(DbShortArray values)
Returns the index of the maximum value.static int
indexOfMax(Short... values)
Returns the index of the maximum value.static int
indexOfMin(short[] values)
Returns the index of the minimum value.static int
indexOfMin(DbShortArray values)
Returns the index of the minimum value.static int
indexOfMin(Short... values)
Returns the index of the minimum value.static double
log(short value)
Returns the natural logarithm (base e).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 short
max(short[] values)
Returns the maximum.static short
max(DbShortArray values)
Returns the maximum.static short
max(Short... values)
Returns the maximum.static double
median(short[] values)
Returns the median.static double
median(DbShortArray values)
Returns the median.static double
median(Short... values)
Returns the median.static short
min(short[] values)
Returns the minimum.static short
min(DbShortArray values)
Returns the minimum.static short
min(Short... values)
Returns the minimum.static double
percentile(double percentile, short... values)
Returns the percentile.static double
percentile(double percentile, DbShortArray values)
Returns the percentile.static double
pow(short a, short b)
Returns the value of the first argument raised to the second argument.static short
product(short[] values)
Returns the product.static short
product(DbShortArray values)
Returns the product.static int
rawBinSearchIndex(short[] values, short key, BinSearch choiceWhenEquals)
Performs a binary search to find a key.static int
rawBinSearchIndex(DbShortArray values, short key, BinSearch choiceWhenEquals)
Performs a binary search to find a key.static double
rint(short value)
Returns the integer closest to the input value.static long
round(short value)
Returns the closest integer to the argument.static short[]
sequence(short start, short end, short step)
Returns a sequence of values.static short
signum(short value)
Returns the signum function.static double
sin(short value)
Returns the sine.static short[]
sort(short[] values)
Returns sorted values from smallest to largest.static DbShortArray
sort(DbShortArray values)
Returns sorted values from smallest to largest.static short[]
sort(Short... values)
Returns sorted values from smallest to largest.static short[]
sortDescending(short[] values)
Returns sorted values from largest to smallest.static DbShortArray
sortDescending(DbShortArray values)
Returns sorted values from largest to smallest.static short[]
sortDescending(Short... values)
Returns sorted values from largest to smallest.static double
sqrt(short value)
Returns the square root.static double
std(short[] values)
Returns the standard deviation.static double
std(DbShortArray values)
Returns the standard deviation.static double
std(Short... values)
Returns the standard deviation.static double
ste(short[] values)
Returns the standard error.static double
ste(DbShortArray values)
Returns the standard error.static double
ste(Short... values)
Returns the standard error.static short
sum(short[] values)
Returns the sum.static short[]
sum(short[]... values)
Returns the sum.static short[]
sum(DbArray<short[]> values)
Returns the sum.static short
sum(DbShortArray values)
Returns the sum.static double
tan(short value)
Returns the tangent.static double
tstat(short[] values)
Returns the t-statistic.static double
tstat(DbShortArray values)
Returns the t-statistic.static double
tstat(Short... values)
Returns the t-statistic.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(short[] values)
Returns the variance.static double
var(DbShortArray values)
Returns the variance.static double
var(Short... values)
Returns the variance.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, DbDoubleArray weights)
Returns the weighted average.static double
wavg(short[] values, DbFloatArray weights)
Returns the weighted average.static double
wavg(short[] values, DbIntArray weights)
Returns the weighted average.static double
wavg(short[] values, DbLongArray weights)
Returns the weighted average.static double
wavg(short[] values, DbShortArray weights)
Returns the weighted average.static double
wavg(DbShortArray values, double[] weights)
Returns the weighted average.static double
wavg(DbShortArray values, float[] weights)
Returns the weighted average.static double
wavg(DbShortArray values, int[] weights)
Returns the weighted average.static double
wavg(DbShortArray values, long[] weights)
Returns the weighted average.static double
wavg(DbShortArray values, short[] weights)
Returns the weighted average.static double
wavg(DbShortArray values, DbDoubleArray weights)
Returns the weighted average.static double
wavg(DbShortArray values, DbFloatArray weights)
Returns the weighted average.static double
wavg(DbShortArray values, DbIntArray weights)
Returns the weighted average.static double
wavg(DbShortArray values, DbLongArray weights)
Returns the weighted average.static double
wavg(DbShortArray values, DbShortArray weights)
Returns the weighted average.static double
weightedAvg(short[] values, double[] weights)
Returns the weighted average.static double
weightedAvg(short[] values, float[] weights)
Returns the weighted average.static double
weightedAvg(short[] values, int[] weights)
Returns the weighted average.static double
weightedAvg(short[] values, long[] weights)
Returns the weighted average.static double
weightedAvg(short[] values, short[] weights)
Returns the weighted average.static double
weightedAvg(short[] values, DbDoubleArray weights)
Returns the weighted average.static double
weightedAvg(short[] values, DbFloatArray weights)
Returns the weighted average.static double
weightedAvg(short[] values, DbIntArray weights)
Returns the weighted average.static double
weightedAvg(short[] values, DbLongArray weights)
Returns the weighted average.static double
weightedAvg(short[] values, DbShortArray weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, double[] weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, float[] weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, int[] weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, long[] weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, short[] weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, DbDoubleArray weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, DbFloatArray weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, DbIntArray weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, DbLongArray weights)
Returns the weighted average.static double
weightedAvg(DbShortArray values, DbShortArray weights)
Returns the weighted average.static double
weightedSum(short[] values, double[] weights)
Returns the weighted sum.static double
weightedSum(short[] values, float[] weights)
Returns the weighted sum.static double
weightedSum(short[] values, int[] weights)
Returns the weighted sum.static double
weightedSum(short[] values, long[] weights)
Returns the weighted sum.static double
weightedSum(short[] values, short[] weights)
Returns the weighted sum.static double
weightedSum(short[] values, DbDoubleArray weights)
Returns the weighted sum.static double
weightedSum(short[] values, DbFloatArray weights)
Returns the weighted sum.static double
weightedSum(short[] values, DbIntArray weights)
Returns the weighted sum.static double
weightedSum(short[] values, DbLongArray weights)
Returns the weighted sum.static double
weightedSum(short[] values, DbShortArray weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, double[] weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, float[] weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, int[] weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, long[] weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, short[] weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, DbDoubleArray weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, DbFloatArray weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, DbIntArray weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, DbLongArray weights)
Returns the weighted sum.static double
weightedSum(DbShortArray values, DbShortArray weights)
Returns the weighted sum.static double
wstd(short[] values, double[] weights)
Returns the weighted standard deviation.static double
wstd(short[] values, float[] weights)
Returns the weighted standard deviation.static double
wstd(short[] values, int[] weights)
Returns the weighted standard deviation.static double
wstd(short[] values, long[] weights)
Returns the weighted standard deviation.static double
wstd(short[] values, short[] weights)
Returns the weighted standard deviation.static double
wstd(short[] values, DbDoubleArray weights)
Returns the weighted standard deviation.static double
wstd(short[] values, DbFloatArray weights)
Returns the weighted standard deviation.static double
wstd(short[] values, DbIntArray weights)
Returns the weighted standard deviation.static double
wstd(short[] values, DbLongArray weights)
Returns the weighted standard deviation.static double
wstd(short[] values, DbShortArray weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, double[] weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, float[] weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, int[] weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, long[] weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, short[] weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, DbDoubleArray weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, DbFloatArray weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, DbIntArray weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, DbLongArray weights)
Returns the weighted standard deviation.static double
wstd(DbShortArray values, DbShortArray weights)
Returns the weighted standard deviation.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, DbDoubleArray weights)
Returns the weighted standard error.static double
wste(short[] values, DbFloatArray weights)
Returns the weighted standard error.static double
wste(short[] values, DbIntArray weights)
Returns the weighted standard error.static double
wste(short[] values, DbLongArray weights)
Returns the weighted standard error.static double
wste(short[] values, DbShortArray weights)
Returns the weighted standard error.static double
wste(DbShortArray values, double[] weights)
Returns the weighted standard error.static double
wste(DbShortArray values, float[] weights)
Returns the weighted standard error.static double
wste(DbShortArray values, int[] weights)
Returns the weighted standard error.static double
wste(DbShortArray values, long[] weights)
Returns the weighted standard error.static double
wste(DbShortArray values, short[] weights)
Returns the weighted standard error.static double
wste(DbShortArray values, DbDoubleArray weights)
Returns the weighted standard error.static double
wste(DbShortArray values, DbFloatArray weights)
Returns the weighted standard error.static double
wste(DbShortArray values, DbIntArray weights)
Returns the weighted standard error.static double
wste(DbShortArray values, DbLongArray weights)
Returns the weighted standard error.static double
wste(DbShortArray values, DbShortArray weights)
Returns the weighted standard error.static double
wsum(short[] values, double[] weights)
Returns the weighted sum.static double
wsum(short[] values, float[] weights)
Returns the weighted sum.static double
wsum(short[] values, int[] weights)
Returns the weighted sum.static double
wsum(short[] values, long[] weights)
Returns the weighted sum.static double
wsum(short[] values, short[] weights)
Returns the weighted sum.static double
wsum(short[] values, DbDoubleArray weights)
Returns the weighted sum.static double
wsum(short[] values, DbFloatArray weights)
Returns the weighted sum.static double
wsum(short[] values, DbIntArray weights)
Returns the weighted sum.static double
wsum(short[] values, DbLongArray weights)
Returns the weighted sum.static double
wsum(short[] values, DbShortArray weights)
Returns the weighted sum.static double
wsum(DbShortArray values, double[] weights)
Returns the weighted sum.static double
wsum(DbShortArray values, float[] weights)
Returns the weighted sum.static double
wsum(DbShortArray values, int[] weights)
Returns the weighted sum.static double
wsum(DbShortArray values, long[] weights)
Returns the weighted sum.static double
wsum(DbShortArray values, short[] weights)
Returns the weighted sum.static double
wsum(DbShortArray values, DbDoubleArray weights)
Returns the weighted sum.static double
wsum(DbShortArray values, DbFloatArray weights)
Returns the weighted sum.static double
wsum(DbShortArray values, DbIntArray weights)
Returns the weighted sum.static double
wsum(DbShortArray values, DbLongArray weights)
Returns the weighted sum.static double
wsum(DbShortArray values, DbShortArray weights)
Returns the weighted sum.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, DbDoubleArray weights)
Returns the weighted t-statistic.static double
wtstat(short[] values, DbFloatArray weights)
Returns the weighted t-statistic.static double
wtstat(short[] values, DbIntArray weights)
Returns the weighted t-statistic.static double
wtstat(short[] values, DbLongArray weights)
Returns the weighted t-statistic.static double
wtstat(short[] values, DbShortArray weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, double[] weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, float[] weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, int[] weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, long[] weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, short[] weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, DbDoubleArray weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, DbFloatArray weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, DbIntArray weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, DbLongArray weights)
Returns the weighted t-statistic.static double
wtstat(DbShortArray values, DbShortArray weights)
Returns the weighted t-statistic.static double
wvar(short[] values, double[] weights)
Returns the weighted variance.static double
wvar(short[] values, float[] weights)
Returns the weighted variance.static double
wvar(short[] values, int[] weights)
Returns the weighted variance.static double
wvar(short[] values, long[] weights)
Returns the weighted variance.static double
wvar(short[] values, short[] weights)
Returns the weighted variance.static double
wvar(short[] values, DbDoubleArray weights)
Returns the weighted variance.static double
wvar(short[] values, DbFloatArray weights)
Returns the weighted variance.static double
wvar(short[] values, DbIntArray weights)
Returns the weighted variance.static double
wvar(short[] values, DbLongArray weights)
Returns the weighted variance.static double
wvar(short[] values, DbShortArray weights)
Returns the weighted variance.static double
wvar(DbShortArray values, double[] weights)
Returns the weighted variance.static double
wvar(DbShortArray values, float[] weights)
Returns the weighted variance.static double
wvar(DbShortArray values, int[] weights)
Returns the weighted variance.static double
wvar(DbShortArray values, long[] weights)
Returns the weighted variance.static double
wvar(DbShortArray values, short[] weights)
Returns the weighted variance.static double
wvar(DbShortArray values, DbDoubleArray weights)
Returns the weighted variance.static double
wvar(DbShortArray values, DbFloatArray weights)
Returns the weighted variance.static double
wvar(DbShortArray values, DbIntArray weights)
Returns the weighted variance.static double
wvar(DbShortArray values, DbLongArray weights)
Returns the weighted variance.static double
wvar(DbShortArray values, DbShortArray weights)
Returns the weighted variance.
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Constructor Details
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ShortNumericPrimitives
public ShortNumericPrimitives()
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Method Details
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countPos
Counts the number of positive values.- Parameters:
values
- values.- Returns:
- number of positive values.
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countPos
public static int countPos(short[] values)Counts the number of positive values.- Parameters:
values
- values.- Returns:
- number of positive values.
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countPos
Counts the number of positive values.- Parameters:
values
- values.- Returns:
- number of positive values.
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countNeg
Counts the number of negative values.- Parameters:
values
- values.- Returns:
- number of negative values.
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countNeg
public static int countNeg(short[] values)Counts the number of negative values.- Parameters:
values
- values.- Returns:
- number of negative values.
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countNeg
Counts the number of negative values.- Parameters:
values
- values.- Returns:
- number of negative values.
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countZero
Counts the number of zero values.- Parameters:
values
- values.- Returns:
- number of zero values.
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countZero
public static int countZero(short[] values)Counts the number of zero values.- Parameters:
values
- values.- Returns:
- number of zero values.
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countZero
Counts the number of zero values.- Parameters:
values
- values.- Returns:
- number of zero values.
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avg
Returns the mean. Null values are excluded.- Parameters:
values
- values.- Returns:
- mean of non-null values.
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avg
public static double avg(short[] values)Returns the mean. Null values are excluded.- Parameters:
values
- values.- Returns:
- mean of non-null values.
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avg
Returns the mean. Null values are excluded.- Parameters:
values
- values.- Returns:
- mean of non-null values.
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absAvg
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.
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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.
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absAvg
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.
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var
Returns the variance. Null values are excluded.- Parameters:
values
- values.- Returns:
- variance of non-null values.
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var
public static double var(short[] values)Returns the variance. Null values are excluded.- Parameters:
values
- values.- Returns:
- variance of non-null values.
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var
Returns the variance. Null values are excluded.- Parameters:
values
- values.- Returns:
- variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
public static double wvar(short[] values, double[] weights)Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
public static double wvar(short[] values, float[] weights)Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
public static double wvar(short[] values, short[] weights)Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
public static double wvar(short[] values, int[] weights)Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
public static double wvar(short[] values, long[] weights)Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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wvar
Returns the weighted variance. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted variance of non-null values.
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std
Returns the standard deviation. Null values are excluded.- Parameters:
values
- values.- Returns:
- standard deviation of non-null values.
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std
public static double std(short[] values)Returns the standard deviation. Null values are excluded.- Parameters:
values
- values.- Returns:
- standard deviation of non-null values.
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std
Returns the standard deviation. Null values are excluded.- Parameters:
values
- values.- Returns:
- standard deviation of non-null values.
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wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
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wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
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wstd
public static double wstd(short[] values, double[] weights)Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
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wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
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wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
public static double wstd(short[] values, float[] weights)Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
public static double wstd(short[] values, short[] weights)Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
public static double wstd(short[] values, int[] weights)Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
public static double wstd(short[] values, long[] weights)Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
wstd
Returns the weighted standard deviation. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard deviation of non-null values.
-
ste
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
Returns the standard error. Null values are excluded.- Parameters:
values
- values.- Returns:
- standard error of non-null values.
-
wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
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
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
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
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
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
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
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
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
wste
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
Returns the weighted standard error. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted standard error of non-null values.
-
tstat
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
Returns the t-statistic. Null values are excluded.- Parameters:
values
- values.- Returns:
- t-statistic of non-null values.
-
wtstat
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
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
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
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
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
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
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
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
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
wtstat
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
Returns the weighted t-statistic. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted t-statistic of non-null values.
-
max
Returns the maximum. Null values are excluded.- Parameters:
values
- values.- Returns:
- maximum of 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.
-
max
Returns the maximum. Null values are excluded.- Parameters:
values
- values.- Returns:
- maximum of non-null values.
-
min
Returns the minimum. Null values are excluded.- Parameters:
values
- values.- Returns:
- minimum of 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.
-
min
Returns the minimum. Null values are excluded.- Parameters:
values
- values.- Returns:
- minimum of non-null values.
-
median
Returns the median.- Parameters:
values
- values.- Returns:
- median.
-
median
public static double median(short[] values)Returns the median.- Parameters:
values
- values.- Returns:
- median.
-
median
Returns the median.- Parameters:
values
- values.- Returns:
- median.
-
percentile
public static double percentile(double percentile, short... values)Returns the percentile.- Parameters:
percentile
- percentile to compute.values
- values.- Returns:
- percentile.
-
percentile
Returns the percentile.- Parameters:
percentile
- percentile to compute.values
- values.- Returns:
- percentile.
-
firstIndexOf
public static int firstIndexOf(short[] values, short 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
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
Returns the index of the maximum value.- Parameters:
values
- values.- Returns:
- index of the maximum value.
-
indexOfMax
public static int indexOfMax(short[] values)Returns the index of the maximum value.- Parameters:
values
- values.- Returns:
- index of the maximum value.
-
indexOfMax
Returns the index of the maximum value.- Parameters:
values
- values.- Returns:
- index of the maximum value.
-
indexOfMin
Returns the index of the minimum value.- Parameters:
values
- values.- Returns:
- index of the minimum value.
-
indexOfMin
public static int indexOfMin(short[] values)Returns the index of the minimum value.- Parameters:
values
- values.- Returns:
- index of the minimum value.
-
indexOfMin
Returns the index of the minimum value.- Parameters:
values
- values.- Returns:
- index of the minimum value.
-
binSearchIndex
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 immediately before where the key would be inserted.
-
binSearchIndex
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 immediately before where the key would be inserted.
-
rawBinSearchIndex
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
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
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
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, 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
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
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
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, 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
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
Returns the sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- sum of non-null values.
-
sum
public static short sum(short[] values)Returns the sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- sum of non-null values.
-
sum
Returns the sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- array of sums of non-null values.
-
sum
public static short[] sum(short[]... values)Returns the sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- array of sums of non-null values.
-
product
Returns the product. Null values are excluded.- Parameters:
values
- values.- Returns:
- product of non-null values.
-
product
public static short product(short[] values)Returns the product. Null values are excluded.- Parameters:
values
- values.- Returns:
- product of non-null values.
-
cumMin
public static short[] cumMin(short... values)Returns the cumulative minimum. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative sum of non-null values.
-
cumMax
public static short[] cumMax(short... values)Returns the cumulative minimum. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative sum of non-null values.
-
cumsum
Returns the cumulative sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative sum of non-null values.
-
cumsum
public static short[] cumsum(short[] values)Returns the cumulative sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative sum of non-null values.
-
cumsum
Returns the cumulative sum. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative sum of non-null values.
-
cumprod
Returns the cumulative product. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative product of non-null values.
-
cumprod
public static short[] cumprod(short[] values)Returns the cumulative product. Null values are excluded.- Parameters:
values
- values.- Returns:
- cumulative product of non-null values.
-
cumprod
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, 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 theb
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 thanInteger.MIN_VALUE
,Integer.MIN_VALUE
is returned. If the argument is less thanInteger.MAX_VALUE
,Integer.MAX_VALUE
is returned.- Parameters:
value
- value.
-
signum
public static short 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.- 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.- 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.- 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.- 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 thanmin
,min
is returned. If the value is greater thanmax
,max
is returned.- Parameters:
value
- value.min
- minimum value.max
- maximum value.- Returns:
- value constrained to be in the
[min,max]
range.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
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, short[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
public static double weightedSum(short[] values, short[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
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, long[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
public static double weightedSum(short[] values, long[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
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, double[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
public static double weightedSum(short[] values, double[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
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, float[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
public static double weightedSum(short[] values, float[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
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, int[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wsum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
public static double weightedSum(short[] values, int[] weights)Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
weightedSum
Returns the weighted sum. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted sum of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
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, double[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
public static double weightedAvg(short[] values, double[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
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, float[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
public static double weightedAvg(short[] values, float[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
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, long[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
public static double weightedAvg(short[] values, long[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
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, int[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
public static double weightedAvg(short[] values, int[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
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, short[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
wavg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
public static double weightedAvg(short[] values, short[] weights)Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values
- values.weights
- weights- Returns:
- weighted average of non-null values.
-
sort
Returns sorted values from smallest to largest.- Parameters:
values
- values.- Returns:
- sorted values.
-
sort
public static short[] sort(short[] values)Returns sorted values from smallest to largest.- Parameters:
values
- values.- Returns:
- sorted values.
-
sort
Returns sorted values from smallest to largest.- Parameters:
values
- values.- Returns:
- sorted values.
-
sortDescending
Returns sorted values from largest to smallest.- Parameters:
values
- values.- Returns:
- sorted values.
-
sortDescending
public static short[] sortDescending(short[] values)Returns sorted values from largest to smallest.- Parameters:
values
- values.- Returns:
- sorted values.
-
sortDescending
Returns sorted values from largest to smallest.- Parameters:
values
- values.- Returns:
- sorted 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.
-