com.itemanalysis.psychometrics.factoranalysis

Class PrincipalComponentsMethod

java.lang.Object

com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

com.itemanalysis.psychometrics.factoranalysis.PrincipalComponentsMethod

All Implemented Interfaces:

FactorMethod

public class PrincipalComponentsMethod
extends AbstractFactorMethod

Principal components analysis.

Field Summary

Fields inherited from class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

communality, factorLoading, nFactors, nParam, nVariables, proportionOfExplainedVariance, proportionOfVariance, R, rotationMethod, sumsOfSquares, uniqueness, variableNames

Constructor Summary

Constructors

Constructor and Description
PrincipalComponentsMethod(org.apache.commons.math3.linear.RealMatrix R, int nFactors, RotationMethod rotationMethod)

Method Summary

Modifier and Type	Method and Description
double	estimateParameters() A method for estimating parameters.

Methods inherited from class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getCommunalityAt, getFactorLoading, getFactorLoadingAt, getLoadingsForFactorAt, getLowerBounds, getProportionOfExplainedVarianceAt, getProportionOfVarianceAt, getSumsOfSquaresAt, getUniquenessAt, getUpperBounds, getVariableNameAt, setVariableNameAt, setVariableNameAt

Methods inherited from class java.lang.Object

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

Constructor Detail

PrincipalComponentsMethod

public PrincipalComponentsMethod(org.apache.commons.math3.linear.RealMatrix R,
                                 int nFactors,
                                 RotationMethod rotationMethod)

Method Detail

estimateParameters

public double estimateParameters()

Description copied from interface: FactorMethod

A method for estimating parameters. The returned value is the value of the criterion function at the estimated values. It should be the smallest possible value. This value is returned for display in the output.

Returns:

value of the criterion function at the estimated values