Top Description Fields Constructors Methods
org.apache.commons.math3.stat.descriptive.moment

public Class VectorialCovariance

extends Object
implements Serializable
Class Inheritance
All Implemented Interfaces
java.io.Serializable
Imports
java.io.Serializable, java.util.Arrays, org.apache.commons.math3.exception.DimensionMismatchException, org.apache.commons.math3.linear.MatrixUtils, .RealMatrix

Returns the covariance matrix of the available vectors.
Since
1.2

Field Summary

Modifier and TypeField and Description
private final boolean
isBiasCorrected

Indicator for bias correction.

private long
n

Number of vectors in the sample.

private final double[]
productsSums

Sums of products for each component.

private static final long
serialVersionUID

Serializable version identifier

private final double[]
sums

Sums for each component.

Constructor Summary

AccessConstructor and Description
public
VectorialCovariance(int
vectors dimension
dimension
,
boolean
if true, computed the unbiased sample covariance, otherwise computes the biased population covariance
isBiasCorrected
)

Constructs a VectorialCovariance.

Method Summary

Modifier and TypeMethod and Description
public void
clear()

Clears the internal state of the Statistic

public boolean
equals(Object
the reference object with which to compare.
obj
)

Overrides java.lang.Object.equals.

Indicates whether some other object is "equal to" this one.

public long

Returns:

number of vectors in the sample
getN
()

Get the number of vectors in the sample.

public RealMatrix

Returns:

covariance matrix
getResult
()

Get the covariance matrix.

public int
hashCode()

Overrides java.lang.Object.hashCode.

Returns a hash code value for this object.

public void
increment(double[]
vector to add
v
)

Add a new vector to the sample.

Inherited from java.lang.Object:
clonefinalizegetClassnotifynotifyAlltoStringwaitwaitwait

Field Detail

isBiasCorrectedback to summary
private final boolean isBiasCorrected

Indicator for bias correction.

nback to summary
private long n

Number of vectors in the sample.

productsSumsback to summary
private final double[] productsSums

Sums of products for each component.

serialVersionUIDback to summary
private static final long serialVersionUID

Serializable version identifier

sumsback to summary
private final double[] sums

Sums for each component.

Constructor Detail

VectorialCovarianceback to summary
public VectorialCovariance(int dimension, boolean isBiasCorrected)

Constructs a VectorialCovariance.

Parameters
dimension:int

vectors dimension

isBiasCorrected:boolean

if true, computed the unbiased sample covariance, otherwise computes the biased population covariance

Method Detail

clearback to summary
public void clear()

Clears the internal state of the Statistic

equalsback to summary
public boolean equals(Object obj)

Overrides java.lang.Object.equals.

Doc from java.lang.Object.equals.

Indicates whether some other object is "equal to" this one.

The equals method implements an equivalence relation on non-null object references:

  • It is reflexive: for any non-null reference value x, x.equals(x) should return true.
  • It is symmetric: for any non-null reference values x and y, x.equals(y) should return true if and only if y.equals(x) returns true.
  • It is transitive: for any non-null reference values x, y, and z, if x.equals(y) returns true and y.equals(z) returns true, then x.equals(z) should return true.
  • It is consistent: for any non-null reference values x and y, multiple invocations of x.equals(y) consistently return true or consistently return false, provided no information used in equals comparisons on the objects is modified.
  • For any non-null reference value x, x.equals(null) should return false.

An equivalence relation partitions the elements it operates on into equivalence classes; all the members of an equivalence class are equal to each other. Members of an equivalence class are substitutable for each other, at least for some purposes.

Parameters
obj:Object

the reference object with which to compare.

Returns:boolean

true if this object is the same as the obj argument; false otherwise.

Annotations
@Override
getNback to summary
public long getN()

Get the number of vectors in the sample.

Returns:long

number of vectors in the sample

getResultback to summary
public RealMatrix getResult()

Get the covariance matrix.

Returns:RealMatrix

covariance matrix

hashCodeback to summary
public int hashCode()

Overrides java.lang.Object.hashCode.

Doc from java.lang.Object.hashCode.

Returns a hash code value for this object. This method is supported for the benefit of hash tables such as those provided by java.util.HashMap.

The general contract of hashCode is:

  • Whenever it is invoked on the same object more than once during an execution of a Java application, the hashCode method must consistently return the same integer, provided no information used in equals comparisons on the object is modified. This integer need not remain consistent from one execution of an application to another execution of the same application.
  • If two objects are equal according to the equals method, then calling the hashCode method on each of the two objects must produce the same integer result.
  • It is not required that if two objects are unequal according to the equals method, then calling the hashCode method on each of the two objects must produce distinct integer results. However, the programmer should be aware that producing distinct integer results for unequal objects may improve the performance of hash tables.
Returns:int

a hash code value for this object

Annotations
@Override
incrementback to summary
public void increment(double[] v) throws DimensionMismatchException

Add a new vector to the sample.

Parameters
v:double[]

vector to add

Exceptions
DimensionMismatchException:
if the vector does not have the right dimension