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| author | Ricardo Wurmus <rekado@elephly.net> | 2018-02-06 10:53:05 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2018-02-06 11:21:57 +0100 |
| commit | e9e78d2cec26687047c3efc703c6a344065a3cec (patch) | |
| tree | 0ad8fb40978a2c8379b46b35c83c2f4ef22db0f9 /gnu | |
| parent | 2e9d187b87d9489e5d44edc39a53466b22a62379 (diff) | |
| download | guix-e9e78d2cec26687047c3efc703c6a344065a3cec.tar.gz guix-e9e78d2cec26687047c3efc703c6a344065a3cec.zip | |
gnu: Add r-heatmaply.
* gnu/packages/cran.scm (r-heatmaply): New variable.
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/cran.scm | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index a521270f9c..95e0faf2a0 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -2032,3 +2032,43 @@ reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).") (license license:gpl3))) + +(define-public r-heatmaply + (package + (name "r-heatmaply") + (version "0.14.1") + (source + (origin + (method url-fetch) + (uri (cran-uri "heatmaply" version)) + (sha256 + (base32 + "03p2caclhfgqgpx3wwck5h06jy3mxgs05gjmwkb7hmwghkjh41jc")))) + (build-system r-build-system) + (propagated-inputs + `(("r-assertthat" ,r-assertthat) + ("r-colorspace" ,r-colorspace) + ("r-dendextend" ,r-dendextend) + ("r-ggplot2" ,r-ggplot2) + ("r-gplots" ,r-gplots) + ("r-htmlwidgets" ,r-htmlwidgets) + ("r-magrittr" ,r-magrittr) + ("r-plotly" ,r-plotly) + ("r-rcolorbrewer" ,r-rcolorbrewer) + ("r-reshape2" ,r-reshape2) + ("r-scales" ,r-scales) + ("r-seriation" ,r-seriation) + ("r-viridis" ,r-viridis) + ("r-webshot" ,r-webshot))) + (home-page "https://cran.r-project.org/package=heatmaply") + (synopsis "Interactive cluster heat maps using plotly") + (description "Heatmaps are used in many fields for visualizing +observations, correlations, missing values patterns, and more. Interactive +heatmaps allow the inspection of specific value by hovering the mouse over a +cell, as well as zooming into a region of the heatmap by dragging a rectangle +around the relevant area. This work is based on the @code{ggplot2} and +@code{plotly.js} engine. It produces similar heatmaps as @code{heatmap.2} or +@code{d3heatmap}, with the advantage of speed, the ability to zoom from the +dendrogram panes, and the placing of factor variables in the sides of the +heatmap.") + (license (list license:gpl2 license:gpl3)))) |