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@ -4350,3 +4350,38 @@ correspondence analysis (CA) and multiple correspondence analysis (MCA) when
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variables are categorical, Multiple Factor Analysis when variables are
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structured in groups, etc. and hierarchical cluster analysis.")
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(license license:gpl2+)))
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(define-public r-factoextra
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(package
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(name "r-factoextra")
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(version "1.0.5")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "factoextra" version))
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(sha256
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(base32
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"1l6m8k7qhdw8ndar8nhmym0lfyd1i2iszl1cicjax0vq23ss6xw1"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-abind" ,r-abind)
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("r-cluster" ,r-cluster)
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("r-dendextend" ,r-dendextend)
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("r-factominer" ,r-factominer)
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("r-ggplot2" ,r-ggplot2)
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("r-ggpubr" ,r-ggpubr)
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("r-ggrepel" ,r-ggrepel)
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("r-reshape2" ,r-reshape2)
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("r-tidyr" ,r-tidyr)))
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(home-page "http://www.sthda.com/english/rpkgs/factoextra")
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(synopsis "Extract and visualize the results of multivariate data analyses")
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(description
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"This package provides some easy-to-use functions to extract and
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visualize the output of multivariate data analyses, including
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@code{PCA} (Principal Component Analysis), @cod{CA} (Correspondence Analysis),
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@code{MCA} (Multiple Correspondence Analysis), @code{FAMD} (Factor Analysis of
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Mixed Data), @code{MFA} (Multiple Factor Analysis) and
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@code{HMFA} (Hierarchical Multiple Factor Analysis) functions from different R
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packages. It contains also functions for simplifying some clustering analysis
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steps and provides ggplot2-based elegant data visualization.")
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(license license:gpl2)))
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