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 Detail

getDimension

int getDimension()

Returns the dimension of the data

Returns:

The dimension of the data

getMean

double[] getMean()

Returns an array whose i^th entry is the mean of the i^th 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 i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample

Returns:

the array of component standard deviations

getMax

double[] getMax()

Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample

Returns:

the array of component maxima

getMin

double[] getMin()

Returns an array whose i^th entry is the minimum of the i^th 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 i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample

Returns:

the array of component geometric means

getSum

double[] getSum()

Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample

Returns:

the array of component sums

getSumSq

double[] getSumSq()

Returns an array whose i^th entry is the sum of squares of the i^th 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 i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample

Returns:

the array of component log sums