Various R Programming Tools for Plotting Data

Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('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 dots whose size reflects the relative magnitude of the elements ('balloonplot', 'bubbleplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data 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').

gplots website (built using pkgdown)

gplots

Introduction

This repo is to keep the gplots package alive. I don't plan to develop new features, but if you'll send pull requests I'm willing to review them.

Latest news

You can see the most recent changes to the package in the NEWS.md file

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Installation

To install the stable version on CRAN:

install.packages('gplots')

And then you may load the package using:

library("gplots")

Usage

TODO

Contact

You are welcome to:

• Ask questions on: https://stackoverflow.com/questions/tagged/gplots
• Submit suggestions and bug-reports at: https://github.com/talgalili/gplots/issues
• Send a pull request on: https://github.com/talgalili/gplots/
• Compose a friendly e-mail to: [email protected]