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06/08: gnu: Add r-factominer.


From: Ricardo Wurmus
Subject: 06/08: gnu: Add r-factominer.
Date: Wed, 13 Jun 2018 05:51:36 -0400 (EDT)

rekado pushed a commit to branch master
in repository guix.

commit e83841a296ef7f25a4847aa0e02456bec774a461
Author: Ricardo Wurmus <address@hidden>
Date:   Wed Jun 13 11:40:17 2018 +0200

    gnu: Add r-factominer.
    
    * gnu/packages/cran.scm (r-factominer): New variable.
---
 gnu/packages/cran.scm | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 6bf278b..f3662ef 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -4316,3 +4316,37 @@ Analysis and its Applications.")
      "This package provides a fast implementation of hierarchical
 clustering.")
     (license license:gpl2+)))
+
+(define-public r-factominer
+  (package
+    (name "r-factominer")
+    (version "1.41")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "FactoMineR" version))
+       (sha256
+        (base32
+         "1h20hydav6l2b7bngqw1av4l5rrh0wk58nhailga1f4qw9lrv259"))))
+    (properties `((upstream-name . "FactoMineR")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-car" ,r-car)
+       ("r-cluster" ,r-cluster)
+       ("r-ellipse" ,r-ellipse)
+       ("r-flashclust" ,r-flashclust)
+       ("r-lattice" ,r-lattice)
+       ("r-leaps" ,r-leaps)
+       ("r-mass" ,r-mass)
+       ("r-scatterplot3d" ,r-scatterplot3d)))
+    (home-page "http://factominer.free.fr";)
+    (synopsis "Multivariate exploratory data analysis and data mining")
+    (description
+     "This package provides exploratory data analysis methods to summarize,
+visualize and describe datasets.  The main principal component methods are
+available, those with the largest potential in terms of applications:
+principal component analysis (PCA) when variables are quantitative,
+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+)))



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