flanagan.analysis

Class PCA

java.lang.Object

flanagan.analysis.Scores

flanagan.analysis.PCA

public class PCA
extends Scores

Constructor Summary

Constructors

Constructor and Description
PCA()

Method Summary

Modifier and Type	Method and Description
void	analysis()
void	analysis(java.lang.String filename)
double	chiSquareBartlett()
double[]	communalities()
double[]	communalityWeights()
Matrix	correlationMatrix()
Matrix	covarianceMatrix()
double[]	cumulativePercentage()
int	dofBartlett()
int[]	eigenValueIndices()
double[]	eigenValues()
double	eigenValueTotal()
double[][]	eigenVectors()
double[][]	eigenVectorsAsRows()
int	getNumberOfSimulations()
double	getParallelAnalysisPercentileValue()
int	getVarimaxIterations()
java.lang.String	getVarimaxOption()
double[]	itemKMOs()
double	kmo()
double[][]	loadingFactorsAsColumns()
double[][]	loadingFactorsAsRows()
void	monteCarlo()
double[][]	monteCarloEigenValues()
double[]	monteCarloMeans()
double[]	monteCarloPercentiles()
double[]	monteCarloStandardDeviations()
int	nEigenOneOrGreater()
int	nMeanCrossover()
static double[][]	normalVarimaxRotation(double[][] loadingFactorMatrix, double[] communalityWeights)
static double[][]	normalVarimaxRotation(double[][] loadingFactorMatrix, double[] communalityWeights, double tolerance, int nIterMax)
void	normalVarimaxRotation(int nFactors)
int	nPercentileCrossover()
double[]	orderedEigenValues()
double[][]	orderedEigenVectors()
double[][]	orderedEigenVectorsAsColumns()
double[][]	orderedEigenVectorsAsRows()
Matrix	originalData()
double	overallKMO()
Matrix	partialCorrelationMatrix()
void	pca()
double	probabilityBartlett()
double[]	proportionPercentage()
static double[][]	rawVarimaxRotation(double[][] loadingFactorMatrix)
static double[][]	rawVarimaxRotation(double[][] loadingFactorMatrix, double tolerance, int nIterMax)
void	rawVarimaxRotation(int nFactors)
double[]	rotatedCumulativePercentage()
double[]	rotatedEigenValues()
double[][]	rotatedLoadingFactorsAsColumns()
double[][]	rotatedLoadingFactorsAsRows()
double[]	rotatedProportionPercentage()
void	screePlot()
void	screePlotDataAlone()
void	setNumberOfSimulations(int nSimul)
void	setParallelAnalysisPercentileValue(double percent)
void	setVarimaxMaximumIterations(int max)
void	setVarimaxTolerance(double tolerance)
static double[][]	singleRotation(double[][] loadingFactorMatrix, int k, int l, double angle)
static double[][]	transposeMatrix(double[][] matrix)
void	useCorrelationMatrix()
void	useCovarianceMatrix()
void	useGaussianDeviates()
void	useNormalVarimax()
void	useRawVarimax()
void	useUniformDeviates()
static double	varimaxAngle(double[][] loadingFactorMatrix, int k, int l)
static double	varimaxCriterion(double[][] loadingFactorMatrix)
void	varimaxRotation(double[][] loadingFactorMatrix)
void	varimaxRotation(double[][] loadingFactorMatrix, double[] communalityWeights)
void	varimaxRotation(int nFactors)
Matrix	xMatrix()
Matrix	xMatrixTranspose()

Methods inherited from class flanagan.analysis.Scores

deletedItemsIndices, deletedItemsNames, deletedPersonsIndices, deleteItem, deleteItem, enterItemNames, enterScoresAsRowPerIperson, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerItem, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterScoresAsRowPerPerson, enterTitle, getInputFileName, getTitle, ignoreMissingDataOptionRequests, indicesOfReplacedScores, itemIndex, itemName, itemNames, letterToNumeral, numberOfDecimalPlaces, numberOfDecimalPlacesAll, numberOfDeletedItems, numberOfDeletedPersons, numberOfDeletedScores, numberOfReplacedScores, originalItemNames, originalNumberOfItems, originalNumberOfPersons, originalResponses, originalResponsesAsRowPerItem, originalResponsesAsRowPerPerson, originalScores, originalScoresAsRowPerItem, originalScoresAsRowPerPerson, originalTotalNumberOfScores, otherDichotomousData, outputProcessedData, outputProcessedData, outputProcessedDataAlternate, outputProcessedDataAlternate, rawAllResponsesMaximum, rawAllResponsesMean, rawAllResponsesMinimum, rawAllResponsesRange, rawAllResponsesStandardDeviation, rawAllResponsesTotal, rawAllResponsesVariance, rawAverageCorrelationCoefficients, rawAverageCorrelationCoefficientsWithTotals, rawCorrelationCoefficient, rawCorrelationCoefficient, rawCorrelationCoefficient, rawCorrelationCoefficient, rawCorrelationCoefficients, rawCovariance, rawCovariance, rawCovariance, rawCovariance, rawCovariances, rawItemItemPlot, rawItemItemPlot, rawItemMaxima, rawItemMaximum, rawItemMean, rawItemMean, rawItemMeans, rawItemMeansPlot, rawItemMeansPlot, rawItemMedian, rawItemMedian, rawItemMedians, rawItemMinima, rawItemMinimum, rawItemRange, rawItemRanges, rawItemStandardDeviation, rawItemStandardDeviation, rawItemStandardDeviations, rawItemTotal, rawItemTotal, rawItemTotals, rawItemVariance, rawItemVariance, rawItemVariances, rawMaximumOfItemMaxima, rawMaximumOfItemMeans, rawMaximumOfItemMedians, rawMaximumOfItemMinima, rawMaximumOfItemRanges, rawMaximumOfItemStandardDeviations, rawMaximumOfItemTotals, rawMaximumOfItemVariances, rawMeanOfItemMaxima, rawMeanOfItemMeans, rawMeanOfItemMedians, rawMeanOfItemMinima, rawMeanOfItemRanges, rawMeanOfItemStandardDeviations, rawMeanOfItemTotals, rawMeanOfItemVariances, rawMinimumOfItemMaxima, rawMinimumOfItemMeans, rawMinimumOfItemMedians, rawMinimumOfItemMinima, rawMinimumOfItemRanges, rawMinimumOfItemStandardDeviations, rawMinimumOfItemTotals, rawMinimumOfItemVariances, rawPersonMaxima, rawPersonMaximum, rawPersonMean, rawPersonMeans, rawPersonMinima, rawPersonMinimum, rawPersonRange, rawPersonRanges, rawPersonStandardDeviation, rawPersonStandardDeviations, rawPersonTotal, rawPersonTotals, rawPersonVariance, rawPersonVariances, rawRangeOfItemMaxima, rawRangeOfItemMeans, rawRangeOfItemMedians, rawRangeOfItemMinima, rawRangeOfItemRanges, rawRangeOfItemStandardDeviations, rawRangeOfItemTotals, rawRangeOfItemVariances, rawStanadarDeviationOfItemMaxima, rawStanadarDeviationOfItemMedians, rawStanadarDeviationOfItemMinima, rawStanadarDeviationOfItemRanges, rawStanadarDeviationOfItemStandardDeviations, rawStanadarDeviationOfItemTotals, rawStanadarDeviationOfItemVariances, rawStandardDeviationCorrelationCoefficients, rawStandardDeviationCorrelationCoefficientsWithTotals, rawStandardDeviationOfItemMeans, rawVarianceOfItemMaxima, rawVarianceOfItemMeans, rawVarianceOfItemMedians, rawVarianceOfItemMinima, rawVarianceOfItemRanges, rawVarianceOfItemStandardDeviations, rawVarianceOfItemTotals, rawVarianceOfItemVariances, readScoresAsRowPerItem, readScoresAsRowPerItem, readScoresAsRowPerPerson, readScoresAsRowPerPerson, removeFileNumbering, setDenominatorToN, setDenominatorToNminusOne, setFileNumbering, setItemDeletionPercentage, setMissingDataOption, setOutputFileType, setPersonDeletionPercentage, standardisedAverageCorrelationCoefficients, standardisedAverageCorrelationCoefficientsWithTotals, standardisedCorrelationCoefficient, standardisedCorrelationCoefficient, standardisedCorrelationCoefficient, standardisedCorrelationCoefficient, standardisedCorrelationCoefficients, standardisedCovariance, standardisedCovariance, standardisedCovariance, standardisedCovariance, standardisedCovariances, standardisedItemItemPlot, standardisedItemItemPlot, standardisedItemMaxima, standardisedItemMaximum, standardisedItemMean, standardisedItemMean, standardisedItemMeans, standardisedItemMeansPlot, standardisedItemMeansPlot, standardisedItemMedian, standardisedItemMedian, standardisedItemMedians, standardisedItemMinima, standardisedItemMinimum, standardisedItemRange, standardisedItemRanges, standardisedItemStandardDeviation, standardisedItemStandardDeviation, standardisedItemStandardDeviations, standardisedItemTotal, standardisedItemTotal, standardisedItemTotals, standardisedItemVariance, standardisedItemVariance, standardisedItemVariances, standardisedMaximumOfItemMaxima, standardisedMaximumOfItemMedians, standardisedMaximumOfItemMinima, standardisedMaximumOfItemRanges, standardisedMaximumOfItemStandardDeviations, standardisedMaximumOfItemTotals, standardisedMaximumOfItemVariances, standardisedMeanOfItemMaxima, standardisedMeanOfItemMeans, standardisedMeanOfItemMedians, standardisedMeanOfItemMinima, standardisedMeanOfItemRanges, standardisedMeanOfItemStandardDeviations, standardisedMeanOfItemTotals, standardisedMeanOfItemVariances, standardisedMinimumOfItemMaxima, standardisedMinimumOfItemMeans, standardisedMinimumOfItemMedians, standardisedMinimumOfItemMinima, standardisedMinimumOfItemRanges, standardisedMinimumOfItemStandardDeviations, standardisedMinimumOfItemTotals, standardisedMinimumOfItemVariances, standardisedPersonMaxima, standardisedPersonMaximum, standardisedPersonMean, standardisedPersonMeans, standardisedPersonMinima, standardisedPersonMinimum, standardisedPersonRange, standardisedPersonRanges, standardisedPersonStandardDeviation, standardisedPersonStandardDeviations, standardisedPersonTotal, standardisedPersonTotals, standardisedPersonVariance, standardisedPersonVariances, standardisedRangeOfItemMaxima, standardisedRangeOfItemMeans, standardisedRangeOfItemMedians, standardisedRangeOfItemMinima, standardisedRangeOfItemRanges, standardisedRangeOfItemStandardDeviations, standardisedRangeOfItemTotals, standardisedRangeOfItemVariances, standardisedScoresAsRowPerItem, standardisedScoresAsRowPerPerson, standardisedStanadarDeviationOfItemMaxima, standardisedStanadarDeviationOfItemMeans, standardisedStanadarDeviationOfItemMedians, standardisedStanadarDeviationOfItemMinima, standardisedStanadarDeviationOfItemRanges, standardisedStanadarDeviationOfItemStandardDeviations, standardisedStanadarDeviationOfItemTotals, standardisedStanadarDeviationOfItemVariances, standardisedStandardDeviationCorrelationCoefficients, standardisedStandardDeviationCorrelationCoefficientsWithTotals, standardisedTotalMaximum, standardisedTotalMean, standardisedTotalMinimum, standardisedTotalRange, standardisedTotalStandardDeviation, standardisedTotalTotal, standardisedTotalVariance, standardisedVarianceOfItemMaxima, standardisedVarianceOfItemMeans, standardisedVarianceOfItemMedians, standardisedVarianceOfItemMinima, standardisedVarianceOfItemRanges, standardisedVarianceOfItemStandardDeviations, standardisedVarianceOfItemTotals, standardisedVarianceOfItemVariances, standardizedAllResponsesMaximum, standardizedAllResponsesMean, standardizedAllResponsesMinimum, standardizedAllResponsesRange, standardizedAllResponsesStandardDeviation, standardizedAllResponsesTotal, standardizedAllResponsesVariance, standardizedAverageCorrelationCoefficients, standardizedAverageCorrelationCoefficientsWithTotals, standardizedCorrelationCoefficient, standardizedCorrelationCoefficient, standardizedCorrelationCoefficient, standardizedCorrelationCoefficient, standardizedCorrelationCoefficients, standardizedCovariance, standardizedCovariance, standardizedCovariance, standardizedCovariance, standardizedCovariances, standardizedItemItemPlot, standardizedItemItemPlot, standardizedItemMaxima, standardizedItemMaximum, standardizedItemMean, standardizedItemMean, standardizedItemMeans, standardizedItemMeansPlot, standardizedItemMeansPlot, standardizedItemMedian, standardizedItemMedian, standardizedItemMedians, standardizedItemMinima, standardizedItemMinimum, standardizedItemRange, standardizedItemRanges, standardizedItemStandardDeviation, standardizedItemStandardDeviation, standardizedItemStandardDeviations, standardizedItemTotal, standardizedItemTotal, standardizedItemTotals, standardizedItemVariance, standardizedItemVariance, standardizedItemVariances, standardizedMaximumOfItemMaxima, standardizedMaximumOfItemMeans, standardizedMaximumOfItemMedians, standardizedMaximumOfItemMinima, standardizedMaximumOfItemRanges, standardizedMaximumOfItemStandardDeviations, standardizedMaximumOfItemTotals, standardizedMaximumOfItemVariances, standardizedMeanOfItemMaxima, standardizedMeanOfItemMeans, standardizedMeanOfItemMedians, standardizedMeanOfItemMinima, standardizedMeanOfItemRanges, standardizedMeanOfItemStandardDeviations, standardizedMeanOfItemTotals, standardizedMeanOfItemVariances, standardizedMinimumOfItemMaxima, standardizedMinimumOfItemMeans, standardizedMinimumOfItemMedians, standardizedMinimumOfItemMinima, standardizedMinimumOfItemRanges, standardizedMinimumOfItemStandardDeviations, standardizedMinimumOfItemTotals, standardizedMinimumOfItemVariances, standardizedPersonMaxima, standardizedPersonMaximum, standardizedPersonMean, standardizedPersonMeans, standardizedPersonMinima, standardizedPersonMinimum, standardizedPersonRange, standardizedPersonRanges, standardizedPersonStandardDeviation, standardizedPersonStandardDeviations, standardizedPersonTotal, standardizedPersonTotals, standardizedPersonVariance, standardizedPersonVariances, standardizedRangeOfItemMaxima, standardizedRangeOfItemMeans, standardizedRangeOfItemMedians, standardizedRangeOfItemMinima, standardizedRangeOfItemRanges, standardizedRangeOfItemStandardDeviations, standardizedRangeOfItemTotals, standardizedRangeOfItemVariances, standardizedScoresAsRowPerItem, standardizedScoresAsRowPerPerson, standardizedStanadarDeviationOfItemMaxima, standardizedStanadarDeviationOfItemMeans, standardizedStanadarDeviationOfItemMedians, standardizedStanadarDeviationOfItemMinima, standardizedStanadarDeviationOfItemRanges, standardizedStanadarDeviationOfItemStandardDeviations, standardizedStanadarDeviationOfItemTotals, standardizedStanadarDeviationOfItemVariances, standardizedStandardDeviationCorrelationCoefficients, standardizedStandardDeviationCorrelationCoefficientsWithTotals, standardizedVarianceOfItemMaxima, standardizedVarianceOfItemMeans, standardizedVarianceOfItemMedians, standardizedVarianceOfItemMinima, standardizedVarianceOfItemRanges, standardizedVarianceOfItemStandardDeviations, standardizedVarianceOfItemTotals, standardizedVarianceOfItemVariances, suspendLetterToNumeral, toCronbach, toPCA, usedNumberOfItems, usedNumberOfPersons, usedresponsesAsRowPerPerson, usedScoresAsRowPerItem, usedScoresAsRowPerPerson, usedTotalNumberOfScores

Methods inherited from class java.lang.Object

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

Constructor Detail

PCA

public PCA()

Method Detail

useCovarianceMatrix

public void useCovarianceMatrix()

useCorrelationMatrix

public void useCorrelationMatrix()

useNormalVarimax

public void useNormalVarimax()

useRawVarimax

public void useRawVarimax()

getVarimaxOption

public java.lang.String getVarimaxOption()

setNumberOfSimulations

public void setNumberOfSimulations(int nSimul)

getNumberOfSimulations

public int getNumberOfSimulations()

useGaussianDeviates

public void useGaussianDeviates()

useUniformDeviates

public void useUniformDeviates()

setParallelAnalysisPercentileValue

public void setParallelAnalysisPercentileValue(double percent)

getParallelAnalysisPercentileValue

public double getParallelAnalysisPercentileValue()

pca

public void pca()

monteCarlo

public void monteCarlo()

screePlotDataAlone

public void screePlotDataAlone()

screePlot

public void screePlot()

setVarimaxTolerance

public void setVarimaxTolerance(double tolerance)

setVarimaxMaximumIterations

public void setVarimaxMaximumIterations(int max)

getVarimaxIterations

public int getVarimaxIterations()

varimaxRotation

public void varimaxRotation(int nFactors)

varimaxRotation

public void varimaxRotation(double[][] loadingFactorMatrix)

varimaxRotation

public void varimaxRotation(double[][] loadingFactorMatrix,
                            double[] communalityWeights)

rawVarimaxRotation

public void rawVarimaxRotation(int nFactors)

normalVarimaxRotation

public void normalVarimaxRotation(int nFactors)

rawVarimaxRotation

public static double[][] rawVarimaxRotation(double[][] loadingFactorMatrix)

rawVarimaxRotation

public static double[][] rawVarimaxRotation(double[][] loadingFactorMatrix,
                                            double tolerance,
                                            int nIterMax)

normalVarimaxRotation

public static double[][] normalVarimaxRotation(double[][] loadingFactorMatrix,
                                               double[] communalityWeights)

normalVarimaxRotation

public static double[][] normalVarimaxRotation(double[][] loadingFactorMatrix,
                                               double[] communalityWeights,
                                               double tolerance,
                                               int nIterMax)

transposeMatrix

public static double[][] transposeMatrix(double[][] matrix)

varimaxCriterion

public static double varimaxCriterion(double[][] loadingFactorMatrix)

varimaxAngle

public static double varimaxAngle(double[][] loadingFactorMatrix,
                                  int k,
                                  int l)

singleRotation

public static double[][] singleRotation(double[][] loadingFactorMatrix,
                                        int k,
                                        int l,
                                        double angle)

eigenValues

public double[] eigenValues()

orderedEigenValues

public double[] orderedEigenValues()

eigenValueIndices

public int[] eigenValueIndices()

eigenValueTotal

public double eigenValueTotal()

proportionPercentage

public double[] proportionPercentage()

cumulativePercentage

public double[] cumulativePercentage()

rotatedEigenValues

public double[] rotatedEigenValues()

rotatedProportionPercentage

public double[] rotatedProportionPercentage()

rotatedCumulativePercentage

public double[] rotatedCumulativePercentage()

eigenVectors

public double[][] eigenVectors()

eigenVectorsAsRows

public double[][] eigenVectorsAsRows()

orderedEigenVectorsAsColumns

public double[][] orderedEigenVectorsAsColumns()

orderedEigenVectors

public double[][] orderedEigenVectors()

orderedEigenVectorsAsRows

public double[][] orderedEigenVectorsAsRows()

loadingFactorsAsColumns

public double[][] loadingFactorsAsColumns()

loadingFactorsAsRows

public double[][] loadingFactorsAsRows()

rotatedLoadingFactorsAsColumns

public double[][] rotatedLoadingFactorsAsColumns()

rotatedLoadingFactorsAsRows

public double[][] rotatedLoadingFactorsAsRows()

communalities

public double[] communalities()

communalityWeights

public double[] communalityWeights()

covarianceMatrix

public Matrix covarianceMatrix()

correlationMatrix

public Matrix correlationMatrix()

partialCorrelationMatrix

public Matrix partialCorrelationMatrix()

monteCarloMeans

public double[] monteCarloMeans()

monteCarloStandardDeviations

public double[] monteCarloStandardDeviations()

monteCarloPercentiles

public double[] monteCarloPercentiles()

monteCarloEigenValues

public double[][] monteCarloEigenValues()

originalData

public Matrix originalData()

xMatrix

public Matrix xMatrix()

xMatrixTranspose

public Matrix xMatrixTranspose()

nEigenOneOrGreater

public int nEigenOneOrGreater()

nMeanCrossover

public int nMeanCrossover()

nPercentileCrossover

public int nPercentileCrossover()

overallKMO

public double overallKMO()

kmo

public double kmo()

itemKMOs

public double[] itemKMOs()

chiSquareBartlett

public double chiSquareBartlett()

dofBartlett

public int dofBartlett()

probabilityBartlett

public double probabilityBartlett()

analysis

public void analysis()

analysis

public void analysis(java.lang.String filename)