Package org.apache.commons.math.stat.descriptive

Interface StatisticalMultivariateSummary

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method 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