org.apache.commons.math3.stat.descriptive
Interface UnivariateStatistic

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

public interface UnivariateStatistic
extends MathArrays.Function

Base interface implemented by all statistics.

Version:
$Id: UnivariateStatistic.java 7721 2013-02-14 14:07:13Z CardosoP $

Method Summary
 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


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