StatisticalMultivariateSummary (Hipparchus 2.0 API)

All Known Implementing Classes:

MultivariateSummaryStatistics
```
public interface StatisticalMultivariateSummary
```
Reporting interface for basic multivariate statistics.

Method Summary

All Methods Instance Methods Abstract 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 i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample
`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
`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
`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
`long`	`getN()` Returns the number of available values
`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
`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
`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
`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

- 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

Interface StatisticalMultivariateSummary

Method Summary

Method Detail

getDimension

getMean

getCovariance

getStandardDeviation

getMax

getMin

getN

getGeometricMean

getSum

getSumSq

getSumLog