By Saghir Bashir and Dirk Eddelbuettel
Excerpt from repo: An eight-page pdf guide for “Getting Started in R”. Objective: To create a short guide that gives a quick overview and introduction to R.
The tinyplot package aims to remove this overhead. It provides a lightweight extension of the base R graphics system that preserves the same core logic and syntax, but with numerous convenience features to make base R plotting a more user-friendly experience. For example, the core tinyplot()
function—or its shorthand alias plt()
—makes it easy to plot grouped datasets and generate automatic legends in a single function call. Or, you can display groups in separate facets without having to worry about manually setting plot regions. While tinyplot offers these and various other enhancements, it tries as far as possible to be a drop-in replacement for the equivalent base plotting function. Users should generally be able to swap out a valid plot()
call for tinyplot()
/plt()
without any changes to the expected output.
- Link to repo here: https://github.com/eddelbuettel/gsir-te
- Link to pdf here: https://eddelbuettel.github.io/gsir-te/Getting-Started-in-R.pdf
- link to package here: https://grantmcdermott.com/tinyplot/
- Introductory tutorial here: https://grantmcdermott.com/tinyplot/vignettes/introduction.html
- Gallery here: https://grantmcdermott.com/tinyplot/vignettes/gallery.html