com.illumon.iris.libs.primitives.FloatNumericPrimitives

public class FloatNumericPrimitives
extends Object

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

Constructor Summary

Constructors

Constructor Description

FloatNumericPrimitives()

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Details
- FloatNumericPrimitives
  
  public FloatNumericPrimitives()
Method Details
- countPos
  
  public static int countPos(Float... values)
  
  Counts the number of positive values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of positive values.
- countPos
  
  public static int countPos(float[] values)
  
  Counts the number of positive values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of positive values.
- countPos
  
  public static int countPos(DbFloatArray values)
  
  Counts the number of positive values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of positive values.
- countNeg
  
  public static int countNeg(Float... values)
  
  Counts the number of negative values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of negative values.
- countNeg
  
  public static int countNeg(float[] values)
  
  Counts the number of negative values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of negative values.
- countNeg
  
  public static int countNeg(DbFloatArray values)
  
  Counts the number of negative values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of negative values.
- countZero
  
  public static int countZero(Float... values)
  
  Counts the number of zero values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of zero values.
- countZero
  
  public static int countZero(float[] values)
  
  Counts the number of zero values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of zero values.
- countZero
  
  public static int countZero(DbFloatArray values)
  
  Counts the number of zero values.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  number of zero values.
- avg
  
  public static double avg(Float... values)
  
  Returns the mean. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of non-null values.
- avg
  
  public static double avg(float[] values)
  
  Returns the mean. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of non-null values.
- avg
  
  public static double avg(DbFloatArray values)
  
  Returns the mean. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of non-null values.
- absAvg
  
  public static double absAvg(Float... values)
  
  Returns the mean of the absolute values of values. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of the absolute value of non-null values.
- absAvg
  
  public static double absAvg(float[] values)
  
  Returns the mean of the absolute values of values. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of the absolute value of non-null values.
- absAvg
  
  public static double absAvg(DbFloatArray values)
  
  Returns the mean of the absolute values of values. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  mean of the absolute value of non-null values.
- var
  
  public static double var(Float... values)
  
  Returns the variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  variance of non-null values.
- var
  
  public static double var(float[] values)
  
  Returns the variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  variance of non-null values.
- var
  
  public static double var(DbFloatArray values)
  
  Returns the variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  variance of non-null values.
- wvar
  
  public static double wvar(float[] values, DbDoubleArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, double[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, double[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, DbFloatArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, float[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, float[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, DbShortArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, short[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, short[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, DbIntArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, int[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, int[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, DbLongArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, long[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(float[] values, long[] weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- wvar
  
  public static double wvar(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted variance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted variance of non-null values.
- std
  
  public static double std(Float... values)
  
  Returns the standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard deviation of non-null values.
- std
  
  public static double std(float[] values)
  
  Returns the standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard deviation of non-null values.
- std
  
  public static double std(DbFloatArray values)
  
  Returns the standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, DbDoubleArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, double[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, double[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, DbFloatArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, float[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, float[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, DbShortArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, short[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, short[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, DbIntArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, int[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, int[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, DbLongArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, long[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(float[] values, long[] weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- wstd
  
  public static double wstd(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted standard deviation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard deviation of non-null values.
- ste
  
  public static double ste(Float... values)
  
  Returns the standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard error of non-null values.
- ste
  
  public static double ste(float[] values)
  
  Returns the standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard error of non-null values.
- ste
  
  public static double ste(DbFloatArray values)
  
  Returns the standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  standard error of non-null values.
- wste
  
  public static double wste(float[] values, DbDoubleArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, double[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, double[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, DbFloatArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, float[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, float[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, DbShortArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, short[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, short[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, DbIntArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, int[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, int[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, DbLongArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, long[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(float[] values, long[] weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- wste
  
  public static double wste(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted standard error. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted standard error of non-null values.
- tstat
  
  public static double tstat(Float... values)
  
  Returns the t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  t-statistic of non-null values.
- tstat
  
  public static double tstat(float[] values)
  
  Returns the t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  t-statistic of non-null values.
- tstat
  
  public static double tstat(DbFloatArray values)
  
  Returns the t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, DbDoubleArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, double[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, double[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, DbFloatArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, float[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, float[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, DbShortArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, short[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, short[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, DbIntArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, int[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, int[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, DbLongArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, long[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(float[] values, long[] weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- wtstat
  
  public static double wtstat(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted t-statistic. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted t-statistic of non-null values.
- max
  
  public static float max(DbFloatArray values)
  
  Returns the maximum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  maximum of non-null, non-NaN values.
- max
  
  public static float max(float[] values)
  
  Returns the maximum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  maximum of non-null, non-NaN values.
- max
  
  public static float max(Float... values)
  
  Returns the maximum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  maximum of non-null, non-NaN values.
- min
  
  public static float min(DbFloatArray values)
  
  Returns the minimum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  minimum of non-null, non-NaN values.
- min
  
  public static float min(float[] values)
  
  Returns the minimum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  minimum of non-null, non-NaN values.
- min
  
  public static float min(Float... values)
  
  Returns the minimum. Null and NaN values are excluded.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  minimum of non-null, non-NaN values.
- median
  
  public static double median(Float... values)
  
  Returns the median.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  median.
- median
  
  public static double median(float[] values)
  
  Returns the median.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  median.
- median
  
  public static double median(DbFloatArray values)
  
  Returns the median.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  median.
- percentile
  
  public static double percentile(float[] values, double percentile)
  
  Returns the percentile.
  
  Parameters:
  
  values - values.
  
  percentile - percentile to compute.
  
  Returns:
  
  percentile.
- percentile
  
  public static double percentile(DbFloatArray values, double percentile)
  
  Returns the percentile.
  
  Parameters:
  
  values - values.
  
  percentile - percentile to compute.
  
  Returns:
  
  percentile.
- firstIndexOf
  
  public static int firstIndexOf(float[] values, float val)
  
  Returns the first index containing the value.
  
  Parameters:
  
  values - values.
  
  val - value to search for.
  
  Returns:
  
  first index containing the value or null, if the value is not present.
- firstIndexOf
  
  public static int firstIndexOf(DbFloatArray values, float val)
  
  Returns the first index containing the value.
  
  Parameters:
  
  values - values.
  
  val - value to search for.
  
  Returns:
  
  first index containing the value or null, if the value is not present.
- indexOfMax
  
  public static int indexOfMax(Float... values)
  
  Returns the index of the maximum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the maximum value.
- indexOfMax
  
  public static int indexOfMax(float[] values)
  
  Returns the index of the maximum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the maximum value.
- indexOfMax
  
  public static int indexOfMax(DbFloatArray values)
  
  Returns the index of the maximum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the maximum value.
- indexOfMin
  
  public static int indexOfMin(Float... values)
  
  Returns the index of the minimum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the minimum value.
- indexOfMin
  
  public static int indexOfMin(float[] values)
  
  Returns the index of the minimum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the minimum value.
- indexOfMin
  
  public static int indexOfMin(DbFloatArray values)
  
  Returns the index of the minimum value.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  index of the minimum value.
- binSearchIndex
  
  public static int binSearchIndex(float[] values, float key, BinSearch choiceWhenEquals)
  
  Performs a binary search to find a key.
  
  Parameters:
  
  values - sorted values to search.
  
  key - key to search for.
  
  choiceWhenEquals - algorithm used to resolve ties when performing a binary search.
  
  Returns:
  
  index of the search key, if it is contained in the array; otherwise, the index of where the key would be inserted.
- binSearchIndex
  
  public static int binSearchIndex(DbFloatArray values, float key, BinSearch choiceWhenEquals)
  
  Performs a binary search to find a key.
  
  Parameters:
  
  values - sorted values to search.
  
  key - key to search for.
  
  choiceWhenEquals - algorithm used to resolve ties when performing a binary search.
  
  Returns:
  
  index of the search key, if it is contained in the array; otherwise, the index of where the key would be inserted.
- rawBinSearchIndex
  
  public static int rawBinSearchIndex(float[] values, float key, BinSearch choiceWhenEquals)
  
  Performs a binary search to find a key.
  
  Parameters:
  
  values - sorted values to search.
  
  key - key to search for.
  
  choiceWhenEquals - algorithm used to resolve ties when performing a binary search.
  
  Returns:
  
  index of the search key, if it is contained in the array; otherwise, (-(insertion point) - 1).
- rawBinSearchIndex
  
  public static int rawBinSearchIndex(DbFloatArray values, float key, BinSearch choiceWhenEquals)
  
  Performs a binary search to find a key.
  
  Parameters:
  
  values - sorted values to search.
  
  key - key to search for.
  
  choiceWhenEquals - algorithm used to resolve ties when performing a binary search.
  
  Returns:
  
  index of the search key, if it is contained in the array; otherwise, (-(insertion point) - 1).
- cov
  
  public static double cov(float[] values0, DbFloatArray values1)
  
  Returns the covariance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  covariance of non-null values.
- cov
  
  public static double cov(DbFloatArray values0, float[] values1)
  
  Returns the covariance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  covariance of non-null values.
- cov
  
  public static double cov(float[] values0, float[] values1)
  
  Returns the covariance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  covariance of non-null values.
- cov
  
  public static double cov(DbFloatArray values0, DbFloatArray values1)
  
  Returns the covariance. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  covariance of non-null values.
- cor
  
  public static double cor(float[] values0, DbFloatArray values1)
  
  Returns the correlation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  correlation of non-null values.
- cor
  
  public static double cor(DbFloatArray values0, float[] values1)
  
  Returns the correlation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  correlation of non-null values.
- cor
  
  public static double cor(float[] values0, float[] values1)
  
  Returns the correlation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  correlation of non-null values.
- cor
  
  public static double cor(DbFloatArray values0, DbFloatArray values1)
  
  Returns the correlation. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values0 - 1st set of values.
  
  values1 - 2nd set of values.
  
  Returns:
  
  correlation of non-null values.
- sum
  
  public static float sum(DbFloatArray values)
  
  Returns the sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sum of non-null values.
- sum
  
  public static float sum(float[] values)
  
  Returns the sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sum of non-null values.
- sum
  
  public static float[] sum(DbArray<float[]> values)
  
  Returns the sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  array of sums of non-null values.
- sum
  
  public static float[] sum(float[]... values)
  
  Returns the sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  array of sums of non-null values.
- product
  
  public static float product(DbFloatArray values)
  
  Returns the product. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  product of non-null values.
- product
  
  public static float product(float[] values)
  
  Returns the product. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  product of non-null values.
- cumMin
  
  public static float[] cumMin(float[] values)
  
  Returns the cumulative min. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative sum of non-null values.
- cumMax
  
  public static float[] cumMax(float[] values)
  
  Returns the cumulative max. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative sum of non-null values.
- cumsum
  
  public static float[] cumsum(Float... values)
  
  Returns the cumulative sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative sum of non-null values.
- cumsum
  
  public static float[] cumsum(float[] values)
  
  Returns the cumulative sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative sum of non-null values.
- cumsum
  
  public static float[] cumsum(DbFloatArray values)
  
  Returns the cumulative sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative sum of non-null values.
- cumprod
  
  public static float[] cumprod(Float... values)
  
  Returns the cumulative product. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative product of non-null values.
- cumprod
  
  public static float[] cumprod(float[] values)
  
  Returns the cumulative product. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative product of non-null values.
- cumprod
  
  public static float[] cumprod(DbFloatArray values)
  
  Returns the cumulative product. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  cumulative product of non-null values.
- abs
  
  public static float abs(float value)
  
  Returns the absolute value.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  absolute value.
- acos
  
  public static double acos(float value)
  
  Returns the arc cosine.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  arc cosine.
- asin
  
  public static double asin(float value)
  
  Returns the arc sine.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  arc sine.
- atan
  
  public static double atan(float value)
  
  Returns the arc tangent.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  arc tangent.
- ceil
  
  public static double ceil(float value)
  
  Returns the ceiling. This is the smallest integer, which is greater than or equal to the value.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  ceiling.
- cos
  
  public static double cos(float value)
  
  Returns the cosine.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  cosine.
- exp
  
  public static double exp(float value)
  
  Returns Euler's number e raised to a power.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  Euler's number e raised to a power.
- floor
  
  public static double floor(float value)
  
  Returns the floor. This is the largest integer, which is less than or equal to the value.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  floor.
- log
  
  public static double log(float value)
  
  Returns the natural logarithm (base e).
  
  Parameters:
  
  value - value.
  
  Returns:
  
  natural logarithm (base e).
- pow
  
  public static double pow(float a, float b)
  
  Returns the value of the first argument raised to the second argument.
  
  Parameters:
  
  a - the base.
  
  b - the exponent.
  
  Returns:
  
  a raised to the b power.
- rint
  
  public static double rint(float value)
  
  Returns the integer closest to the input value.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  integer closes to the input value.
- round
  
  public static long round(float value)
  
  Returns the closest integer to the argument. If the argument is NaN, the result is 0. If the argument is greater than Integer.MIN_VALUE, Integer.MIN_VALUE is returned. If the argument is less than Integer.MAX_VALUE, Integer.MAX_VALUE is returned.
  
  Parameters:
  
  value - value.
- signum
  
  public static float signum(float value)
  
  Returns the signum function.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  signum function.
- sin
  
  public static double sin(float value)
  
  Returns the sine.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  sine.
- sqrt
  
  public static double sqrt(float value)
  
  Returns the square root.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  square root.
- tan
  
  public static double tan(float value)
  
  Returns the tangent.
  
  Parameters:
  
  value - value.
  
  Returns:
  
  tangent.
- lowerBin
  
  public static float lowerBin(float value, float interval)
  
  Returns the lower bound of the bin containing the value.
  
  Parameters:
  
  value - value.
  
  interval - bin width.
  
  Returns:
  
  lower bound of the bin containing the value.
- lowerBin
  
  public static float lowerBin(float value, float interval, float offset)
  
  Returns the lower bound of the bin containing the value.
  
  Parameters:
  
  value - value.
  
  interval - bin width.
  
  offset - interval offset
  
  Returns:
  
  lower bound of the bin containing the value.
- upperBin
  
  public static float upperBin(float value, float interval)
  
  Returns the upper bound of the bin containing the value.
  
  Parameters:
  
  value - value.
  
  interval - bin width.
  
  Returns:
  
  upper bound of the bin containing the value.
- upperBin
  
  public static float upperBin(float value, float interval, float offset)
  
  Returns the upper bound of the bin containing the value.
  
  Parameters:
  
  value - value.
  
  interval - bin width.
  
  offset - interval offset
  
  Returns:
  
  upper bound of the bin containing the value.
- clamp
  
  public static float clamp(float value, float min, float max)
  
  Constrains the value to be on the [min,max] range. If the value is less than min, min is returned. If the value is greater than max, max is returned.
  
  Parameters:
  
  value - value.
  
  min - minimum value.
  
  max - maximum value.
  
  Returns:
  
  value constrained to be in the [min,max] range.
- wsum
  
  public static double wsum(float[] values, DbFloatArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, DbFloatArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, float[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, float[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, float[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, float[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, DbDoubleArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, DbDoubleArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, double[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, double[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, double[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, double[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, DbLongArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, DbLongArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, long[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, long[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, long[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, long[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, DbIntArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, DbIntArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, int[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, int[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, int[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, int[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, DbShortArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, DbShortArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, short[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, short[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(float[] values, short[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(float[] values, short[] weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wsum
  
  public static double wsum(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- weightedSum
  
  public static double weightedSum(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted sum. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted sum of non-null values.
- wavg
  
  public static double wavg(float[] values, DbFloatArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, DbFloatArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, float[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, float[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, float[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, float[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, DbFloatArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, DbDoubleArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, DbDoubleArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, double[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, double[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, double[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, double[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, DbDoubleArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, DbLongArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, DbLongArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, long[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, long[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, long[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, long[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, DbLongArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, DbIntArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, DbIntArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, int[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, int[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, int[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, int[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, DbIntArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, DbShortArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, DbShortArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, short[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, short[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(float[] values, short[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(float[] values, short[] weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- wavg
  
  public static double wavg(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- weightedAvg
  
  public static double weightedAvg(DbFloatArray values, DbShortArray weights)
  
  Returns the weighted average. Null values are excluded. NaN values are included.
  
  Parameters:
  
  values - values.
  
  weights - weights
  
  Returns:
  
  weighted average of non-null values.
- sort
  
  public static DbFloatArray sort(DbFloatArray values)
  
  Returns sorted values from smallest to largest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sort
  
  public static float[] sort(float[] values)
  
  Returns sorted values from smallest to largest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sort
  
  public static float[] sort(Float... values)
  
  Returns sorted values from smallest to largest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sortDescending
  
  public static DbFloatArray sortDescending(DbFloatArray values)
  
  Returns sorted values from largest to smallest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sortDescending
  
  public static float[] sortDescending(float[] values)
  
  Returns sorted values from largest to smallest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sortDescending
  
  public static float[] sortDescending(Float... values)
  
  Returns sorted values from largest to smallest.
  
  Parameters:
  
  values - values.
  
  Returns:
  
  sorted values.
- sequence
  
  public static float[] sequence(float start, float end, float step)
  
  Returns a sequence of values.
  
  Parameters:
  
  start - starting value.
  
  end - terminal value.
  
  step - step size.
  
  Returns:
  
  sequence of values from start to end.

Class FloatNumericPrimitives

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Details

Method Details