Implements principal component analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.
| Version: | 3.1 |
| Imports: | graphics |
| Suggests: | knitr,rmarkdown |
| Published: | 2017-10-23 |
| DOI: | 10.32614/CRAN.package.PCAmixdata |
| Author: | Marie Chavent [aut, cre], Vanessa Kuentz [aut], Amaury Labenne [aut], Benoit Liquet [aut], Jerome Saracco [aut] |
| Maintainer: | Marie Chavent <Marie.Chavent at u-bordeaux.fr> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | PCAmixdata results |
| Reference manual: | PCAmixdata.html ,PCAmixdata.pdf |
| Vignettes: | How to Use the PCAmixdata Package (source,R code) Supplementary Observations, Variables or Groups (source,R code) |
| Package source: | PCAmixdata_3.1.tar.gz |
| Windows binaries: | r-devel:PCAmixdata_3.1.zip, r-release:PCAmixdata_3.1.zip, r-oldrel:PCAmixdata_3.1.zip |
| macOS binaries: | r-release (arm64):PCAmixdata_3.1.tgz, r-oldrel (arm64):PCAmixdata_3.1.tgz, r-release (x86_64):PCAmixdata_3.1.tgz, r-oldrel (x86_64):PCAmixdata_3.1.tgz |
| Old sources: | PCAmixdata archive |
| Reverse depends: | GroupBN |
| Reverse imports: | ClustOfVar,gspcr,MultivariateAnalysis,vimpclust |
| Reverse suggests: | CAST,ModStatR |
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