Package com.illumon.iris.libs.primitives
Class ShortNumericPrimitives
java.lang.Object
com.illumon.iris.libs.primitives.ShortNumericPrimitives
A set of commonly used numeric functions that can be applied to Short types.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic shortabs(short value) Returns the absolute value.static doubleabsAvg(short[] values) Returns the mean of the absolute values of values.static doubleabsAvg(DbShortArray values) Returns the mean of the absolute values of values.static doubleReturns the mean of the absolute values of values.static doubleacos(short value) Returns the arc cosine.static doubleasin(short value) Returns the arc sine.static doubleatan(short value) Returns the arc tangent.static doubleavg(short[] values) Returns the mean.static doubleavg(DbShortArray values) Returns the mean.static doubleReturns the mean.static intbinSearchIndex(short[] values, short key, BinSearch choiceWhenEquals) Performs a binary search to find a key.static intbinSearchIndex(DbShortArray values, short key, BinSearch choiceWhenEquals) Performs a binary search to find a key.static doubleceil(short value) Returns the ceiling.static shortclamp(short value, short min, short max) Constrains the value to be on the[min,max]range.static doublecor(short[] values0, short[] values1) Returns the correlation.static doublecor(short[] values0, DbShortArray values1) Returns the correlation.static doublecor(DbShortArray values0, short[] values1) Returns the correlation.static doublecor(DbShortArray values0, DbShortArray values1) Returns the correlation.static doublecos(short value) Returns the cosine.static intcountNeg(short[] values) Counts the number of negative values.static intcountNeg(DbShortArray values) Counts the number of negative values.static intCounts the number of negative values.static intcountPos(short[] values) Counts the number of positive values.static intcountPos(DbShortArray values) Counts the number of positive values.static intCounts the number of positive values.static intcountZero(short[] values) Counts the number of zero values.static intcountZero(DbShortArray values) Counts the number of zero values.static intCounts the number of zero values.static doublecov(short[] values0, short[] values1) Returns the covariance.static doublecov(short[] values0, DbShortArray values1) Returns the covariance.static doublecov(DbShortArray values0, short[] values1) Returns the covariance.static doublecov(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[]Returns the cumulative product.static short[]cumsum(short[] values) Returns the cumulative sum.static short[]cumsum(DbShortArray values) Returns the cumulative sum.static short[]Returns the cumulative sum.static doubleexp(short value) Returns Euler's number e raised to a power.static intfirstIndexOf(short[] values, short val) Returns the first index containing the value.static intfirstIndexOf(DbShortArray values, short val) Returns the first index containing the value.static doublefloor(short value) Returns the floor.static intindexOfMax(short[] values) Returns the index of the maximum value.static intindexOfMax(DbShortArray values) Returns the index of the maximum value.static intindexOfMax(Short... values) Returns the index of the maximum value.static intindexOfMin(short[] values) Returns the index of the minimum value.static intindexOfMin(DbShortArray values) Returns the index of the minimum value.static intindexOfMin(Short... values) Returns the index of the minimum value.static doublelog(short value) Returns the natural logarithm (base e).static shortlowerBin(short value, short interval) Returns the lower bound of the bin containing the value.static shortlowerBin(short value, short interval, short offset) Returns the lower bound of the bin containing the value.static shortmax(short[] values) Returns the maximum.static shortmax(DbShortArray values) Returns the maximum.static shortReturns the maximum.static doublemedian(short[] values) Returns the median.static doublemedian(DbShortArray values) Returns the median.static doubleReturns the median.static shortmin(short[] values) Returns the minimum.static shortmin(DbShortArray values) Returns the minimum.static shortReturns the minimum.static doublepercentile(double percentile, short... values) Returns the percentile.static doublepercentile(double percentile, DbShortArray values) Returns the percentile.static doublepow(short a, short b) Returns the value of the first argument raised to the second argument.static shortproduct(short[] values) Returns the product.static shortproduct(DbShortArray values) Returns the product.static intrawBinSearchIndex(short[] values, short key, BinSearch choiceWhenEquals) Performs a binary search to find a key.static intrawBinSearchIndex(DbShortArray values, short key, BinSearch choiceWhenEquals) Performs a binary search to find a key.static doublerint(short value) Returns the integer closest to the input value.static longround(short value) Returns the closest integer to the argument.static short[]sequence(short start, short end, short step) Returns a sequence of values.static shortsignum(short value) Returns the signum function.static doublesin(short value) Returns the sine.static short[]sort(short[] values) Returns sorted values from smallest to largest.static DbShortArraysort(DbShortArray values) Returns sorted values from smallest to largest.static short[]Returns sorted values from smallest to largest.static short[]sortDescending(short[] values) Returns sorted values from largest to smallest.static DbShortArraysortDescending(DbShortArray values) Returns sorted values from largest to smallest.static short[]sortDescending(Short... values) Returns sorted values from largest to smallest.static doublesqrt(short value) Returns the square root.static doublestd(short[] values) Returns the standard deviation.static doublestd(DbShortArray values) Returns the standard deviation.static doubleReturns the standard deviation.static doubleste(short[] values) Returns the standard error.static doubleste(DbShortArray values) Returns the standard error.static doubleReturns the standard error.static shortsum(short[] values) Returns the sum.static short[]sum(short[]... values) Returns the sum.static short[]Returns the sum.static shortsum(DbShortArray values) Returns the sum.static doubletan(short value) Returns the tangent.static doubletstat(short[] values) Returns the t-statistic.static doubletstat(DbShortArray values) Returns the t-statistic.static doubleReturns the t-statistic.static shortupperBin(short value, short interval) Returns the upper bound of the bin containing the value.static shortupperBin(short value, short interval, short offset) Returns the upper bound of the bin containing the value.static doublevar(short[] values) Returns the variance.static doublevar(DbShortArray values) Returns the variance.static doubleReturns the variance.static doublewavg(short[] values, double[] weights) Returns the weighted average.static doublewavg(short[] values, float[] weights) Returns the weighted average.static doublewavg(short[] values, int[] weights) Returns the weighted average.static doublewavg(short[] values, long[] weights) Returns the weighted average.static doublewavg(short[] values, short[] weights) Returns the weighted average.static doublewavg(short[] values, DbDoubleArray weights) Returns the weighted average.static doublewavg(short[] values, DbFloatArray weights) Returns the weighted average.static doublewavg(short[] values, DbIntArray weights) Returns the weighted average.static doublewavg(short[] values, DbLongArray weights) Returns the weighted average.static doublewavg(short[] values, DbShortArray weights) Returns the weighted average.static doublewavg(DbShortArray values, double[] weights) Returns the weighted average.static doublewavg(DbShortArray values, float[] weights) Returns the weighted average.static doublewavg(DbShortArray values, int[] weights) Returns the weighted average.static doublewavg(DbShortArray values, long[] weights) Returns the weighted average.static doublewavg(DbShortArray values, short[] weights) Returns the weighted average.static doublewavg(DbShortArray values, DbDoubleArray weights) Returns the weighted average.static doublewavg(DbShortArray values, DbFloatArray weights) Returns the weighted average.static doublewavg(DbShortArray values, DbIntArray weights) Returns the weighted average.static doublewavg(DbShortArray values, DbLongArray weights) Returns the weighted average.static doublewavg(DbShortArray values, DbShortArray weights) Returns the weighted average.static doubleweightedAvg(short[] values, double[] weights) Returns the weighted average.static doubleweightedAvg(short[] values, float[] weights) Returns the weighted average.static doubleweightedAvg(short[] values, int[] weights) Returns the weighted average.static doubleweightedAvg(short[] values, long[] weights) Returns the weighted average.static doubleweightedAvg(short[] values, short[] weights) Returns the weighted average.static doubleweightedAvg(short[] values, DbDoubleArray weights) Returns the weighted average.static doubleweightedAvg(short[] values, DbFloatArray weights) Returns the weighted average.static doubleweightedAvg(short[] values, DbIntArray weights) Returns the weighted average.static doubleweightedAvg(short[] values, DbLongArray weights) Returns the weighted average.static doubleweightedAvg(short[] values, DbShortArray weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, double[] weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, float[] weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, int[] weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, long[] weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, short[] weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, DbDoubleArray weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, DbFloatArray weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, DbIntArray weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, DbLongArray weights) Returns the weighted average.static doubleweightedAvg(DbShortArray values, DbShortArray weights) Returns the weighted average.static doubleweightedSum(short[] values, double[] weights) Returns the weighted sum.static doubleweightedSum(short[] values, float[] weights) Returns the weighted sum.static doubleweightedSum(short[] values, int[] weights) Returns the weighted sum.static doubleweightedSum(short[] values, long[] weights) Returns the weighted sum.static doubleweightedSum(short[] values, short[] weights) Returns the weighted sum.static doubleweightedSum(short[] values, DbDoubleArray weights) Returns the weighted sum.static doubleweightedSum(short[] values, DbFloatArray weights) Returns the weighted sum.static doubleweightedSum(short[] values, DbIntArray weights) Returns the weighted sum.static doubleweightedSum(short[] values, DbLongArray weights) Returns the weighted sum.static doubleweightedSum(short[] values, DbShortArray weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, double[] weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, float[] weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, int[] weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, long[] weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, short[] weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, DbDoubleArray weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, DbFloatArray weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, DbIntArray weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, DbLongArray weights) Returns the weighted sum.static doubleweightedSum(DbShortArray values, DbShortArray weights) Returns the weighted sum.static doublewstd(short[] values, double[] weights) Returns the weighted standard deviation.static doublewstd(short[] values, float[] weights) Returns the weighted standard deviation.static doublewstd(short[] values, int[] weights) Returns the weighted standard deviation.static doublewstd(short[] values, long[] weights) Returns the weighted standard deviation.static doublewstd(short[] values, short[] weights) Returns the weighted standard deviation.static doublewstd(short[] values, DbDoubleArray weights) Returns the weighted standard deviation.static doublewstd(short[] values, DbFloatArray weights) Returns the weighted standard deviation.static doublewstd(short[] values, DbIntArray weights) Returns the weighted standard deviation.static doublewstd(short[] values, DbLongArray weights) Returns the weighted standard deviation.static doublewstd(short[] values, DbShortArray weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, double[] weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, float[] weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, int[] weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, long[] weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, short[] weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, DbDoubleArray weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, DbFloatArray weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, DbIntArray weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, DbLongArray weights) Returns the weighted standard deviation.static doublewstd(DbShortArray values, DbShortArray weights) Returns the weighted standard deviation.static doublewste(short[] values, double[] weights) Returns the weighted standard error.static doublewste(short[] values, float[] weights) Returns the weighted standard error.static doublewste(short[] values, int[] weights) Returns the weighted standard error.static doublewste(short[] values, long[] weights) Returns the weighted standard error.static doublewste(short[] values, short[] weights) Returns the weighted standard error.static doublewste(short[] values, DbDoubleArray weights) Returns the weighted standard error.static doublewste(short[] values, DbFloatArray weights) Returns the weighted standard error.static doublewste(short[] values, DbIntArray weights) Returns the weighted standard error.static doublewste(short[] values, DbLongArray weights) Returns the weighted standard error.static doublewste(short[] values, DbShortArray weights) Returns the weighted standard error.static doublewste(DbShortArray values, double[] weights) Returns the weighted standard error.static doublewste(DbShortArray values, float[] weights) Returns the weighted standard error.static doublewste(DbShortArray values, int[] weights) Returns the weighted standard error.static doublewste(DbShortArray values, long[] weights) Returns the weighted standard error.static doublewste(DbShortArray values, short[] weights) Returns the weighted standard error.static doublewste(DbShortArray values, DbDoubleArray weights) Returns the weighted standard error.static doublewste(DbShortArray values, DbFloatArray weights) Returns the weighted standard error.static doublewste(DbShortArray values, DbIntArray weights) Returns the weighted standard error.static doublewste(DbShortArray values, DbLongArray weights) Returns the weighted standard error.static doublewste(DbShortArray values, DbShortArray weights) Returns the weighted standard error.static doublewsum(short[] values, double[] weights) Returns the weighted sum.static doublewsum(short[] values, float[] weights) Returns the weighted sum.static doublewsum(short[] values, int[] weights) Returns the weighted sum.static doublewsum(short[] values, long[] weights) Returns the weighted sum.static doublewsum(short[] values, short[] weights) Returns the weighted sum.static doublewsum(short[] values, DbDoubleArray weights) Returns the weighted sum.static doublewsum(short[] values, DbFloatArray weights) Returns the weighted sum.static doublewsum(short[] values, DbIntArray weights) Returns the weighted sum.static doublewsum(short[] values, DbLongArray weights) Returns the weighted sum.static doublewsum(short[] values, DbShortArray weights) Returns the weighted sum.static doublewsum(DbShortArray values, double[] weights) Returns the weighted sum.static doublewsum(DbShortArray values, float[] weights) Returns the weighted sum.static doublewsum(DbShortArray values, int[] weights) Returns the weighted sum.static doublewsum(DbShortArray values, long[] weights) Returns the weighted sum.static doublewsum(DbShortArray values, short[] weights) Returns the weighted sum.static doublewsum(DbShortArray values, DbDoubleArray weights) Returns the weighted sum.static doublewsum(DbShortArray values, DbFloatArray weights) Returns the weighted sum.static doublewsum(DbShortArray values, DbIntArray weights) Returns the weighted sum.static doublewsum(DbShortArray values, DbLongArray weights) Returns the weighted sum.static doublewsum(DbShortArray values, DbShortArray weights) Returns the weighted sum.static doublewtstat(short[] values, double[] weights) Returns the weighted t-statistic.static doublewtstat(short[] values, float[] weights) Returns the weighted t-statistic.static doublewtstat(short[] values, int[] weights) Returns the weighted t-statistic.static doublewtstat(short[] values, long[] weights) Returns the weighted t-statistic.static doublewtstat(short[] values, short[] weights) Returns the weighted t-statistic.static doublewtstat(short[] values, DbDoubleArray weights) Returns the weighted t-statistic.static doublewtstat(short[] values, DbFloatArray weights) Returns the weighted t-statistic.static doublewtstat(short[] values, DbIntArray weights) Returns the weighted t-statistic.static doublewtstat(short[] values, DbLongArray weights) Returns the weighted t-statistic.static doublewtstat(short[] values, DbShortArray weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, double[] weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, float[] weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, int[] weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, long[] weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, short[] weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, DbDoubleArray weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, DbFloatArray weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, DbIntArray weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, DbLongArray weights) Returns the weighted t-statistic.static doublewtstat(DbShortArray values, DbShortArray weights) Returns the weighted t-statistic.static doublewvar(short[] values, double[] weights) Returns the weighted variance.static doublewvar(short[] values, float[] weights) Returns the weighted variance.static doublewvar(short[] values, int[] weights) Returns the weighted variance.static doublewvar(short[] values, long[] weights) Returns the weighted variance.static doublewvar(short[] values, short[] weights) Returns the weighted variance.static doublewvar(short[] values, DbDoubleArray weights) Returns the weighted variance.static doublewvar(short[] values, DbFloatArray weights) Returns the weighted variance.static doublewvar(short[] values, DbIntArray weights) Returns the weighted variance.static doublewvar(short[] values, DbLongArray weights) Returns the weighted variance.static doublewvar(short[] values, DbShortArray weights) Returns the weighted variance.static doublewvar(DbShortArray values, double[] weights) Returns the weighted variance.static doublewvar(DbShortArray values, float[] weights) Returns the weighted variance.static doublewvar(DbShortArray values, int[] weights) Returns the weighted variance.static doublewvar(DbShortArray values, long[] weights) Returns the weighted variance.static doublewvar(DbShortArray values, short[] weights) Returns the weighted variance.static doublewvar(DbShortArray values, DbDoubleArray weights) Returns the weighted variance.static doublewvar(DbShortArray values, DbFloatArray weights) Returns the weighted variance.static doublewvar(DbShortArray values, DbIntArray weights) Returns the weighted variance.static doublewvar(DbShortArray values, DbLongArray weights) Returns the weighted variance.static doublewvar(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.
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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, float[] 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.
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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, short[] 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.
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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, int[] 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.
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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, long[] 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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ste
Returns the standard error. Null values are excluded.- Parameters:
values- values.- Returns:
- standard error of non-null values.
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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.
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ste
Returns the standard error. Null values are excluded.- Parameters:
values- values.- Returns:
- standard error of non-null values.
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wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted standard error of non-null values.
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wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted standard error of non-null values.
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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.
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wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted standard error of non-null values.
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wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted standard error of non-null values.
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wste
Returns the weighted standard error. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted standard error of non-null values.
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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.
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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:
araised to thebpower.
-
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_VALUEis returned. If the argument is less thanInteger.MAX_VALUE,Integer.MAX_VALUEis 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,minis returned. If the value is greater thanmax,maxis 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.
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wavg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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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.
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wavg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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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.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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wavg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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wavg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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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.
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wavg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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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.
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weightedAvg
Returns the weighted average. Null values are excluded.- Parameters:
values- values.weights- weights- Returns:
- weighted average of non-null values.
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sort
Returns sorted values from smallest to largest.- Parameters:
values- values.- Returns:
- sorted values.
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sort
public static short[] sort(short[] values) Returns sorted values from smallest to largest.- Parameters:
values- values.- Returns:
- sorted values.
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sort
Returns sorted values from smallest to largest.- Parameters:
values- values.- Returns:
- sorted values.
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sortDescending
Returns sorted values from largest to smallest.- Parameters:
values- values.- Returns:
- sorted values.
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sortDescending
public static short[] sortDescending(short[] values) Returns sorted values from largest to smallest.- Parameters:
values- values.- Returns:
- sorted values.
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sortDescending
Returns sorted values from largest to smallest.- Parameters:
values- values.- Returns:
- sorted values.
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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.
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