## Interface UnivariateStatistic

• All Superinterfaces:
MathArrays.Function
All Known Subinterfaces:
StorelessUnivariateStatistic
All Known Implementing Classes:
AbstractStorelessUnivariateStatistic, AbstractUnivariateStatistic, GeometricMean, Kurtosis, Max, Mean, Median, Min, Percentile, Product, PSquarePercentile, SecondMoment, SemiVariance, Skewness, StandardDeviation, Sum, SumOfLogs, SumOfSquares, Variance

public interface UnivariateStatistic
extends MathArrays.Function
Base interface implemented by all statistics.
• ### Method Summary

All Methods
Modifier and Type Method Description
UnivariateStatistic copy()
Returns a copy of the statistic with the same internal state.
double evaluate​(double[] values)
Returns the result of evaluating the statistic over the input array.
double evaluate​(double[] values, int begin, int length)
Returns the result of evaluating the statistic over the specified entries in the input array.
• ### Method Detail

• #### evaluate

double evaluate​(double[] values)
throws MathIllegalArgumentException
Returns the result of evaluating the statistic over the input array.
Specified by:
evaluate in interface MathArrays.Function
Parameters:
values - input array
Returns:
the value of the statistic applied to the input array
Throws:
MathIllegalArgumentException - if values is null
• #### evaluate

double evaluate​(double[] values,
int begin,
int length)
throws MathIllegalArgumentException
Returns the result of evaluating the statistic over the specified entries in the input array.
Specified by:
evaluate in interface MathArrays.Function
Parameters:
values - the input array
begin - the index of the first element to include
length - the number of elements to include
Returns:
the value of the statistic applied to the included array entries
Throws:
MathIllegalArgumentException - if values is null or the indices are invalid
• #### copy

UnivariateStatistic copy()
Returns a copy of the statistic with the same internal state.
Returns:
a copy of the statistic