UnivariateStatistic (Apache Commons Math 3.3 API)

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 1416643 2012-12-03 19:37:14Z tn $

- - ### Method Summary

    Methods
    Modifier and Type | Method and 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

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