# 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, RandomPercentile, SecondMoment, SemiVariance, Skewness, StandardDeviation, Sum, SumOfLogs, SumOfSquares, Variance

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

Modifier and Type
Method
Description
UnivariateStatistic
copy()
Returns a copy of the statistic with the same internal state.
default 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 Details

• ### evaluate

default double evaluate(double[] values) throws MathIllegalArgumentException
Returns the result of evaluating the statistic over the input array.

The default implementation delegates to evaluate(double[], int, int) in the natural way.

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

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