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
Version:
$Id: StatisticalMultivariateSummary.java 1416643 2012-12-03 19:37:14Z tn $

Method Summary
 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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