Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary functionals (‘bandplot’, ‘wapply’), - enhanced versions of standard plots (‘barplot2’, ‘boxplot2’, ‘heatmap.2’, ‘smartlegend’), - manipulating colors (‘col2hex’, ‘colorpanel’, ‘redgreen’, ‘greenred’, ‘bluered’, ‘redblue’, ‘rich.colors’), - calculating and plotting two-dimensional data summaries (‘ci2d’, ‘hist2d’), - enhanced regression diagnostic plots (‘lmplot2’, ‘residplot’), - formula-enabled interface to stats::lowess function (‘lowess’), - displaying textual data in plots (‘textplot’, ‘sinkplot’), - plotting a matrix where each cell contains a dot whose size reflects the relative magnitude of the elements (‘balloonplot’), - plotting Venn diagrams (‘venn’), - displaying Open-Office style plots (‘ooplot’), - plotting multiple data sets on same region, with separate axes (‘overplot’), - plotting means and confidence intervals (‘plotCI’, ‘plotmeans’), - spacing points in an x-y plot so they don’t overlap (‘space’).

Versions 2.17.0
License GPL-2
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-gplots


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-gplots

and update with:

conda update r-gplots


A Docker container is available at https://quay.io/repository/biocontainers/r-gplots.