ExPosition v2.8.23
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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! | ||
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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 |
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