public class VectorialCovariance extends Object implements Serializable
| Constructor and Description | 
|---|
| VectorialCovariance(int dimension,
                   boolean isBiasCorrected)Constructs a VectorialCovariance. | 
| Modifier and Type | Method and Description | 
|---|---|
| void | clear()Clears the internal state of the Statistic | 
| boolean | equals(Object obj) | 
| long | getN()Get the number of vectors in the sample. | 
| RealMatrix | getResult()Get the covariance matrix. | 
| int | hashCode() | 
| void | increment(double[] v)Add a new vector to the sample. | 
public VectorialCovariance(int dimension,
                   boolean isBiasCorrected)
dimension - vectors dimensionisBiasCorrected - if true, computed the unbiased sample covariance,
 otherwise computes the biased population covariancepublic void increment(double[] v)
               throws DimensionMismatchException
v - vector to addDimensionMismatchException - if the vector does not have the right dimensionpublic RealMatrix getResult()
public long getN()
public void clear()
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