ExPosition-package      ExPosition: _Ex_ploratory Analysis with the
                        Singular Value Decom_Position_
acknowledgements        acknowledgements
authors                 (A truncated form of) Punctuation used by six
                        authors (data).
bada.wine               Twelve wines from 3 regions in France with 18
                        attributes.
beer.tasting.notes      Some of authors' personal beer tasting notes.
beers2007               Ten assessors sort eight beers into groups.
caNorm                  Correspondence analysis preprocessing
caSupplementalElementsPreProcessing
                        Correspondence Analysis preprocessing.
calculateConstraints    calculateConstraints
chi2Dist                Chi-square Distance computation
coffee.data             Small data set on flavor perception and
                        preferences for coffee.
computeMW               computeMW
coreCA                  coreCA
coreMDS                 coreMDS
corePCA                 corePCA
createDefaultDesign     createDefaultDesign
designCheck             designCheck
dica.ad                 Alzheimer's Patient-Spouse Dyads.
dica.wine               Twelve wines from 3 regions in France with 16
                        attributes.
ep.iris                 Fisher's iris Set (for ExPosition)
epCA                    epCA: Correspondence Analysis (CA) via
                        ExPosition.
epGraphs                epGraphs: ExPosition plotting function
epMCA                   epMCA: Multiple Correspondence Analysis (MCA)
                        via ExPosition.
epMDS                   epMDS: Multidimensional Scaling (MDS) via
                        ExPosition.
epPCA                   epPCA: Principal Component Analysis (PCA) via
                        ExPosition.
expo.scale              Scaling functions for ExPosition.
faces2005               Faces analyzed using Four Algorithms
french.social           How twelve French families spend their income
                        on groceries.
genPDQ                  genPDQ: the GSVD
great.beer.tasting.1    A collection of beer tasting notes from
                        untrained assessors.
great.beer.tasting.2    A collection of beer tasting notes from
                        untrained assessors.
hellingerNorm           Hellinger version of CA preprocessing
hellingerSupplementaryColsPreProcessing
                        Preprocessing for supplementary columns in
                        Hellinger analyses.
hellingerSupplementaryRowsPreProcessing
                        Preprocessing for supplementary rows in
                        Hellinger analyses.
jlsr.2010.ad            Data from 17 Alzheimer's Patient-Spouse dyads.
jocn.2005.fmri          Data of categories of images as view in an
                        _f_MRI experiment.
makeDistancesAndWeights
                        Makes distances and weights for MDS analyses
                        (see 'epMDS').
makeNominalData         makeNominalData
makeRowProfiles         Preprocessing for CA-based analyses
mca.eigen.fix           mca.eigen.fix
mca.wine                Six wines described by several assessors with
                        qualitative attributes.
mdsSupplementalElementsPreProcessing
                        MDS preprocessing
mdsTransform            Transform data for MDS analysis.
nominalCheck            Checks if data are disjunctive.
pause                   pause
pca.wine                Six wines described by several assessors with
                        rank attributes.
pcaSupplementaryColsPreProcessing
                        Preprocessing for supplementary columns in PCA.
pcaSupplementaryRowsPreProcessing
                        Preprocessing for supplemental rows in PCA.
pickSVD                 Pick which generalized SVD (or related)
                        decomposition to use.
print.epCA              Print Correspondence Analysis (CA) results
print.epGraphs          Print epGraphs results
print.epMCA             Print Multiple Correspondence Analysis (MCA)
                        results
print.epMDS             Print Multidimensional Scaling (MDS) results
print.epPCA             Print Principal Components Analysis (PCA)
                        results
print.epSVD             Print results from the singular value
                        decomposition (SVD) in ExPosition
print.expoOutput        Print results from ExPosition
rowNorms                Normalize the rows of a matrix.
rvCoeff                 Perform Rv coefficient computation.
snps.druguse            Small data set for Partial Least
                        Squares-Correspondence Analysis
sqrt_mat                sqrt_mat
supplementalProjection
                        Supplemental projections.
supplementaryCols       Supplementary columns
supplementaryRows       Supplementary rows
wines2007               Six wines described by 3 assessors.
wines2012               Wines Data from 12 assessors described by 15
                        flavor profiles.
words                   Twenty words described by 2 features.
