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authorRicardo Wurmus <rekado@elephly.net>2018-06-13 11:40:31 +0200
committerRicardo Wurmus <rekado@elephly.net>2018-06-13 11:51:28 +0200
commitf22bfee9454879e0356ad79efe3a029ff72b16bb (patch)
tree6450f99e7f54958be8df8ec6e4bfe5ad1408d58b /gnu
parente83841a296ef7f25a4847aa0e02456bec774a461 (diff)
downloadpatches-f22bfee9454879e0356ad79efe3a029ff72b16bb.tar
patches-f22bfee9454879e0356ad79efe3a029ff72b16bb.tar.gz
gnu: Add r-factoextra.
* gnu/packages/cran.scm (r-factoextra): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/cran.scm35
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)))