Package org.hipparchus.stat.descriptive

Interface StatisticalMultivariateSummary

All Known Implementing Classes:
MultivariateSummaryStatistics
public interface StatisticalMultivariateSummary
Reporting interface for basic multivariate statistics.

  • Method Summary

    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 Details

    • 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