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author | Ricardo Wurmus <rekado@elephly.net> | 2018-06-13 11:40:31 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2018-06-13 11:51:28 +0200 |
commit | f22bfee9454879e0356ad79efe3a029ff72b16bb (patch) | |
tree | 6450f99e7f54958be8df8ec6e4bfe5ad1408d58b | |
parent | e83841a296ef7f25a4847aa0e02456bec774a461 (diff) | |
download | guix-f22bfee9454879e0356ad79efe3a029ff72b16bb.tar guix-f22bfee9454879e0356ad79efe3a029ff72b16bb.tar.gz |
gnu: Add r-factoextra.
* gnu/packages/cran.scm (r-factoextra): New variable.
-rw-r--r-- | gnu/packages/cran.scm | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index f3662ef14c..c971b4d34d 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -4350,3 +4350,38 @@ correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.") (license license:gpl2+))) + +(define-public r-factoextra + (package + (name "r-factoextra") + (version "1.0.5") + (source + (origin + (method url-fetch) + (uri (cran-uri "factoextra" version)) + (sha256 + (base32 + "1l6m8k7qhdw8ndar8nhmym0lfyd1i2iszl1cicjax0vq23ss6xw1")))) + (build-system r-build-system) + (propagated-inputs + `(("r-abind" ,r-abind) + ("r-cluster" ,r-cluster) + ("r-dendextend" ,r-dendextend) + ("r-factominer" ,r-factominer) + ("r-ggplot2" ,r-ggplot2) + ("r-ggpubr" ,r-ggpubr) + ("r-ggrepel" ,r-ggrepel) + ("r-reshape2" ,r-reshape2) + ("r-tidyr" ,r-tidyr))) + (home-page "http://www.sthda.com/english/rpkgs/factoextra") + (synopsis "Extract and visualize the results of multivariate data analyses") + (description + "This package provides some easy-to-use functions to extract and +visualize the output of multivariate data analyses, including +@code{PCA} (Principal Component Analysis), @cod{CA} (Correspondence Analysis), +@code{MCA} (Multiple Correspondence Analysis), @code{FAMD} (Factor Analysis of +Mixed Data), @code{MFA} (Multiple Factor Analysis) and +@code{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.") + (license license:gpl2))) |