R: Exploratory Analysis with the Singular Value Decomposition

# Exploratory Analysis with the Singular Value Decomposition

## Documentation for package ‘ExPosition’ version 2.11.0

- DESCRIPTION file

## Help Pages

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.
calculateConstraints | calculateConstraints
caNorm | Correspondence analysis preprocessing
caSupplementalElementsPreProcessing | Correspondence Analysis preprocessing.
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.
ExPosition | ExPosition: _Ex_ploratory Analysis with the Singular Value Decom_Position_
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.