org.apache.commons.math3.stat.descriptive

## Interface StatisticalMultivariateSummary

- All Known Implementing Classes:
    MultivariateSummaryStatistics, SynchronizedMultivariateSummaryStatistics

      public interface StatisticalMultivariateSummary

  Reporting interface for basic multivariate statistics.
  Since:
    1.2

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `RealMatrix` | `getCovariance()` Returns the covariance of the available values.
    `int` | `getDimension()` Returns the dimension of the data
    `double[]` | `getGeometricMean()` Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getMax()` Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getMean()` Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getMin()` Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
    `long` | `getN()` Returns the number of available values
    `double[]` | `getStandardDeviation()` Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getSum()` Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getSumLog()` Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
    `double[]` | `getSumSq()` Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample

- - ### Method Detail

    - #### getDimension

          int getDimension()

      Returns the dimension of the data
      Returns:
        The dimension of the data

    - #### getMean

          double[] getMean()

      Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component means

    - #### getCovariance

          RealMatrix getCovariance()

      Returns the covariance of the available values.
      Returns:
        The covariance, null if no multivariate sample have been added or a zeroed matrix for a single value set.

    - #### getStandardDeviation

          double[] getStandardDeviation()

      Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component standard deviations

    - #### getMax

          double[] getMax()

      Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component maxima

    - #### getMin

          double[] getMin()

      Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component minima

    - #### getN

          long getN()

      Returns the number of available values
      Returns:
        The number of available values

    - #### getGeometricMean

          double[] getGeometricMean()

      Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component geometric means

    - #### getSum

          double[] getSum()

      Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component sums

    - #### getSumSq

          double[] getSumSq()

      Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component sums of squares

    - #### getSumLog

          double[] getSumLog()

      Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
      Returns:
        the array of component log sums

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