Package dk.alexandra.fresco.stat.descriptive

Class PearsonCorrelation

Object

PearsonCorrelation

All Implemented Interfaces:

Computation<SFixed,ProtocolBuilderNumeric>

public class PearsonCorrelation
extends Object
implements Computation<SFixed,ProtocolBuilderNumeric>

Compute the correlation between two samples. Note that the mean needs to be computed for both samples. This may be done using the Mean class.

Constructor Summary

Constructors

Constructor	Description
PearsonCorrelation(List<DRes<SFixed>> x, DRes<SFixed> meanX, List<DRes<SFixed>> y, DRes<SFixed> meanY)

Method Summary

Modifier and Type	Method	Description
DRes<SFixed>	buildComputation(ProtocolBuilderNumeric root)

Methods inherited from class Object

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

Constructor Details

PearsonCorrelation

public PearsonCorrelation(List<DRes<SFixed>> x, DRes<SFixed> meanX, List<DRes<SFixed>> y, DRes<SFixed> meanY)

Method Details

buildComputation

public DRes<SFixed> buildComputation(ProtocolBuilderNumeric root)

Specified by:

buildComputation in interface Computation<SFixed,ProtocolBuilderNumeric>