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authorRicardo Wurmus <rekado@elephly.net>2019-12-17 19:48:29 +0100
committerRicardo Wurmus <rekado@elephly.net>2019-12-17 20:02:18 +0100
commitd38775b13fa24dd9e2bc3e4e48a69a9e83cbdc6a (patch)
treef23b27d196f74e8cec51ab4e7f7b674f192e3cb4 /gnu/packages
parent820373dbc82dfccf0edd779a4ab4b68672432a2d (diff)
downloadpatches-d38775b13fa24dd9e2bc3e4e48a69a9e83cbdc6a.tar
patches-d38775b13fa24dd9e2bc3e4e48a69a9e83cbdc6a.tar.gz
gnu: Add r-bigpint.
* gnu/packages/bioconductor.scm (r-bigpint): New variable.
Diffstat (limited to 'gnu/packages')
-rw-r--r--gnu/packages/bioconductor.scm39
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 0e817a1fb6..743a96754f 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -6815,3 +6815,42 @@ related to attaching to, and indexing into, file-backed matrices with
dimnames. Additionally, the package provides a @code{BigMatrixFactor} class,
a file-backed matrix with factor properties.")
(license license:artistic2.0)))
+
+(define-public r-bigpint
+ (package
+ (name "r-bigpint")
+ (version "1.2.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "bigPint" version))
+ (sha256
+ (base32
+ "10vs0lzfyxp6sm4r9pxfwipjvzmmaqnvwn1hc5q37s5qz44fg0hk"))))
+ (properties `((upstream-name . "bigPint")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-dplyr" ,r-dplyr)
+ ("r-ggally" ,r-ggally)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-gridextra" ,r-gridextra)
+ ("r-hexbin" ,r-hexbin)
+ ("r-hmisc" ,r-hmisc)
+ ("r-htmlwidgets" ,r-htmlwidgets)
+ ("r-plotly" ,r-plotly)
+ ("r-plyr" ,r-plyr)
+ ("r-rcolorbrewer" ,r-rcolorbrewer)
+ ("r-reshape" ,r-reshape)
+ ("r-shiny" ,r-shiny)
+ ("r-shinycssloaders" ,r-shinycssloaders)
+ ("r-shinydashboard" ,r-shinydashboard)
+ ("r-stringr" ,r-stringr)
+ ("r-tidyr" ,r-tidyr)))
+ (home-page "https://github.com/lindsayrutter/bigPint")
+ (synopsis "Big multivariate data plotted interactively")
+ (description
+ "This package provides methods for visualizing large multivariate
+datasets using static and interactive scatterplot matrices, parallel
+coordinate plots, volcano plots, and litre plots. It includes examples for
+visualizing RNA-sequencing datasets and differentially expressed genes.")
+ (license license:gpl3)))