ExPosition v2.8.23
0
Monthly downloads
Exploratory Analysis with the Singular Value Decomposition
A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.
Functions in ExPosition
Name | Description | |
ExPosition-package | ExPosition: Exploratory Analysis with the Singular Value DecomPosition | |
coreMDS | coreMDS | |
coffee.data | Small data set on flavor perception and preferences for coffee. | |
calculateConstraints | calculateConstraints | |
chi2Dist | Chi-square Distance computation | |
beer.tasting.notes | Some of authors' personal beer tasting notes. | |
computeMW | computeMW | |
beers2007 | Ten assessors sort eight beers into groups. | |
authors | (A truncated form of) Punctuation used by six authors (data). | |
caNorm | Correspondence analysis preprocessing | |
epCA | epCA: Correspondence Analysis (CA) via ExPosition. | |
epGPCA | epGPCA: Generalized Principal Components Analysis (GPCA) via ExPosition. | |
corePCA | corePCA | |
createDefaultDesign | createDefaultDesign | |
caSupplementalElementsPreProcessing | Correspondence Analysis preprocessing. | |
bada.wine | Twelve wines from 3 regions in France with 18 attributes. | |
jocn.2005.fmri | Data of categories of images as view in an fMRI experiment. | |
epGraphs | epGraphs: ExPosition plotting function | |
epMCA | epMCA: Multiple Correspondence Analysis (MCA) via ExPosition. | |
epMDS | epMDS: Multidimensional Scaling (MDS) via ExPosition. | |
makeDistancesAndWeights | Makes distances and weights for MDS analyses (see epMDS). | |
makeNominalData | makeNominalData | |
french.social | How twelve French families spend their income on groceries. | |
print.epSVD | Print results from the singular value decomposition (SVD) in ExPosition | |
genPDQ | genPDQ: the GSVD | |
epPCA | epPCA: Principal Component Analysis (PCA) via ExPosition. | |
print.expoOutput | Print results from ExPosition | |
makeRowProfiles | Preprocessing for CA-based analyses | |
nominalCheck | Checks if data are disjunctive. | |
snps.druguse | Small data set for Partial Least Squares-Correspondence Analysis | |
pca.wine | Six wines described by several assessors with rank attributes. | |
dica.wine | Twelve wines from 3 regions in France with 16 attributes. | |
pause | pause | |
designCheck | designCheck | |
hellingerSupplementaryRowsPreProcessing | Preprocessing for supplementary rows in Hellinger analyses. | |
supplementalProjection | Supplemental projections. | |
ep.iris | Fisher's iris Set (for ExPosition) | |
jlsr.2010.ad | Data from 17 Alzheimer's Patient-Spouse dyads. | |
dica.ad | Alzheimer's Patient-Spouse Dyads. | |
pickSVD | Pick which generalized SVD (or related) decomposition to use. | |
pcaSupplementaryRowsPreProcessing | Preprocessing for supplemental rows in PCA. | |
pcaSupplementaryColsPreProcessing | Preprocessing for supplementary columns in PCA. | |
print.epCA | Print Correspondence Analysis (CA) results | |
hellingerNorm | Hellinger version of CA preprocessing | |
print.epGraphs | Print epGraphs results | |
rowNorms | Normalize the rows of a matrix. | |
print.epGPCA | Print Generalized Principal Components Analysis (GPCA) results | |
hellingerSupplementaryColsPreProcessing | Preprocessing for supplementary columns in Hellinger analyses. | |
rvCoeff | Perform Rv coefficient computation. | |
expo.scale | Scaling functions for ExPosition. | |
mdsSupplementalElementsPreProcessing | MDS preprocessing | |
print.epMCA | Print Multiple Correspondence Analysis (MCA) results | |
supplementaryCols | Supplementary columns | |
supplementaryRows | Supplementary rows | |
mdsTransform | Transform data for MDS analysis. | |
faces2005 | Faces analyzed using Four Algorithms | |
great.beer.tasting.1 | A collection of beer tasting notes from untrained assessors. | |
words | Twenty words described by 2 features. | |
great.beer.tasting.2 | A collection of beer tasting notes from untrained assessors. | |
mca.eigen.fix | mca.eigen.fix | |
mca.wine | Six wines described by several assessors with qualitative attributes. | |
print.epMDS | Print Multidimensional Scaling (MDS) results | |
print.epPCA | Print Principal Components Analysis (PCA) results | |
wines2007 | Six wines described by 3 assessors. | |
wines2012 | Wines Data from 12 assessors described by 15 flavor profiles. | |
coreCA | coreCA | |
acknowledgements | acknowledgements | |
No Results! |
Last month downloads
Details
Type | Package |
Date | 2018-12-27 |
License | GPL-2 |
Packaged | 2018-12-27 16:16:04 UTC; Derek |
BugReports | https://github.com/derekbeaton/ExPosition-Family_OLD |
NeedsCompilation | no |
Repository | CRAN |
Date/Publication | 2019-01-07 17:00:41 UTC |
depends | prettyGraphs (>= 2.1.4) |
Contributors | Derek Beaton, Herve Abdi, Cherise Chin Fatt |
Include our badge in your README
[](http://www.rdocumentation.org/packages/ExPosition)