VectorialCovariance (Hipparchus::Statistics 1.4 API)

java.lang.Object
- org.hipparchus.stat.descriptive.vector.VectorialCovariance

All Implemented Interfaces:

Serializable
```
public class VectorialCovariance
extends Object
implements Serializable
```
Returns the covariance matrix of the available vectors.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

VectorialCovariance(int dimension, boolean isBiasCorrected)
Constructs a VectorialCovariance.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`clear()`	Clears the internal state of the Statistic
`boolean`	`equals(Object obj)`
`long`	`getN()`	Get the number of vectors in the sample.
`org.hipparchus.linear.RealMatrix`	`getResult()`	Get the covariance matrix.
`int`	`hashCode()`
`void`	`increment(double[] v)`	Add a new vector to the sample.

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - VectorialCovariance
```
public VectorialCovariance(int dimension,
                           boolean isBiasCorrected)
```
    Constructs a VectorialCovariance.
    
    Parameters:
    
    dimension - vectors dimension
    
    isBiasCorrected - if true, computed the unbiased sample covariance, otherwise computes the biased population covariance
- Method Detail
  - increment
```
public void increment(double[] v)
               throws org.hipparchus.exception.MathIllegalArgumentException
```
    Add a new vector to the sample.
    
    Parameters:
    
    v - vector to add
    
    Throws:
    
    org.hipparchus.exception.MathIllegalArgumentException - if the vector does not have the right dimension
  - getResult
```
public org.hipparchus.linear.RealMatrix getResult()
```
    Get the covariance matrix.
    
    Returns:
    
    covariance matrix
  - getN
```
public long getN()
```
    Get the number of vectors in the sample.
    
    Returns:
    
    number of vectors in the sample
  - clear
```
public void clear()
```
    Clears the internal state of the Statistic
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object