factoextra: Extract and Visualize the Results of Multivariate Data Analyses

Provides some easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple Factor Analysis) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides 'ggplot2' - based elegant data visualization.

Version: 1.0.4
Depends: R (≥ 3.1.0), ggplot2 (≥ 2.2.0)
Imports: abind, cluster, dendextend, FactoMineR, ggpubr, grid, stats, reshape2, ggrepel, tidyr
Suggests: ade4, ca, igraph, MASS, knitr, mclust
Published: 2017-01-09
Author: Alboukadel Kassambara [aut, cre], Fabian Mundt [aut]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara at gmail.com>
BugReports: https://github.com/kassambara/factoextra/issues
License: GPL-2
URL: http://www.sthda.com/english/rpkgs/factoextra
NeedsCompilation: no
Materials: README NEWS
CRAN checks: factoextra results


Reference manual: factoextra.pdf
Package source: factoextra_1.0.4.tar.gz
Windows binaries: r-devel: factoextra_1.0.4.zip, r-release: factoextra_1.0.4.zip, r-oldrel: factoextra_1.0.4.zip
OS X El Capitan binaries: r-release: factoextra_1.0.4.tgz
OS X Mavericks binaries: r-oldrel: factoextra_1.0.4.tgz
Old sources: factoextra archive

Reverse dependencies:

Reverse imports: bibliometrix, sejmRP
Reverse suggests: eclust


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