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author | Ricardo Wurmus <rekado@elephly.net> | 2020-02-24 09:44:38 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2020-02-24 09:45:45 +0100 |
commit | 08048ce994a52440162c3a5fc9bf3f17c9affa24 (patch) | |
tree | 68be493ca474c27ee242e736a1bc3b86ac4e487b /gnu/packages | |
parent | 84c86dcebead3b8422bd413fff545e8e76b3f3e6 (diff) | |
download | guix-08048ce994a52440162c3a5fc9bf3f17c9affa24.tar.gz |
gnu: Add r-iheatmapr.
* gnu/packages/cran.scm (r-iheatmapr): New variable. Co-authored-by: Marcel Schilling <marcel.schilling@mdc-berlin.de>
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/cran.scm | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 60947c5f3f..67f14a3b88 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -20200,3 +20200,41 @@ methods (MM, MS, Stocking-Lord, and the complete Hebaera method), and a rich array of parametric and non-parametric (kernel) plots. It estimates and plots Haberman's interaction model when all items are dichotomously scored.") (license license:gpl2+))) + +(define-public r-iheatmapr + (package + (name "r-iheatmapr") + (version "0.4.12") + (source + (origin + (method url-fetch) + (uri (cran-uri "iheatmapr" version)) + (sha256 + (base32 + "0s479j9l35xiss599vablxgvg6i2j9zq9sxphsq4vdk3bafg84bw")))) + (properties `((upstream-name . "iheatmapr"))) + (build-system r-build-system) + (propagated-inputs + `(("r-fastcluster" ,r-fastcluster) + ("r-ggdendro" ,r-ggdendro) + ("r-htmlwidgets" ,r-htmlwidgets) + ("r-jsonlite" ,r-jsonlite) + ("r-knitr" ,r-knitr) + ("r-magrittr" ,r-magrittr) + ("r-plyr" ,r-plyr) + ("r-rcolorbrewer" ,r-rcolorbrewer) + ("r-s4vectors" ,r-s4vectors) + ("r-scales" ,r-scales))) + (home-page "https://docs.ropensci.org/iheatmapr") + (synopsis "Interactive, Complex Heatmaps") + (description + "iheatmapr is an R package for building complex, interactive heatmaps +using modular building blocks. \"Complex\" heatmaps are heatmaps in which +subplots along the rows or columns of the main heatmap add more information +about each row or column. For example, a one column additional heatmap may +indicate what group a particular row or column belongs to. Complex heatmaps +may also include multiple side by side heatmaps which show different types of +data for the same conditions. Interactivity can improve complex heatmaps by +providing tooltips with information about each cell and enabling zooming into +interesting features. iheatmapr uses the plotly library for interactivity.") + (license license:expat))) |