Package org.simulator.math

Class PearsonCorrelation

java.lang.Object

org.simulator.math.QualityMeasure

org.simulator.math.PearsonCorrelation

All Implemented Interfaces:

Serializable

public class PearsonCorrelation
extends QualityMeasure

Implementation of the Pearson correlation.

Since:

1.0

Version:

$Rev$

Author:

Roland Keller

See Also:

Serialized Form

Field Summary

Fields inherited from class org.simulator.math.QualityMeasure

defaultValue, meanFunction

Constructor Summary

Constructors

Constructor	Description
PearsonCorrelation()	Default constructor.
PearsonCorrelation(double defaultValue)	Constructor, which allows setting the parameter value for default value.

Method Summary

Modifier and Type	Method	Description
double	distance(MultiTable.Block.Column x, MultiTable.Block.Column y, double defaultValue)	Returns the distance of the two vectors x and y with the given root.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from class org.simulator.math.QualityMeasure

distance, distance, getColumnDistances, getDefaultValue, getMeanFunction, setDefaultValue, setMeanFunction

Constructor Detail

PearsonCorrelation

public PearsonCorrelation()

Default constructor. This sets the standard value for the parameter as given by the getStandardParameter() method. The default value is set to NaN.

PearsonCorrelation

public PearsonCorrelation(double defaultValue)

Constructor, which allows setting the parameter value for default value.

Parameters:

defaultValue - the default value

Method Detail

distance

public double distance(MultiTable.Block.Column x,
                       MultiTable.Block.Column y,
                       double defaultValue)

Description copied from class: QualityMeasure

Returns the distance of the two vectors x and y with the given root. This may be the root in a formal way or a default value to be returned if the distance uses a non defined operation. If one array is longer than the other one additional values do not contribute to the distance. Double.NaN values are also ignored.

Specified by:

distance in class QualityMeasure

Parameters:

x - an array

y - another array

defaultValue - The value to be returned in cases in which no distance computation is possible.

Returns:

The distance between the two arrays x and y.