R Software
R is a language and provides a flexible and extendable environment for statistical computing and graphics. It is available as Free Software under the terms of the Free Software Foundation's GNU General Public License (GPL). It is similar in many ways to the S language which was developed at Bell Laboratories. There is a commercial version based on the S language known as S-PLUS.The main webpage for the project is http://www.r-project.org/index.html. The software can be downloaded from the Comprehensive R Archive Network (CRAN).
Getting Started with R
- Downloading and installing R (a two page summary)
- A brief introduction to R (a 10 page intro with details about accessing data for this course)
- A very nice tutorial on R
- A tutorial from R-Tutor.com
- R Reference Card (a 4 page reference card by Tom Short)
- The R language - A Short Companion (an 8 page bulleted list by Marc Vandemeulebroecke)
More Comprehensive Documentation
- Workbook/manual from a short course held at UVM in the Fall of 2010.
- There are a lot of additional R manuals available at the CRAN and R-project sites including:
- an introduction to the language
- how to extend R
- ways to get data in and out of R.
R Studio
- a short video to convince you that R Studio is a useful tool.
- R Studio overview.
- R Studio download page. You will probably want to select the "Windows 7/8/10" or "Mac OS X 10.6+" platform.
R Markdown
- An example R markdown .Rmd file and the knitted Word file and HTML file
- An R markdown .Rmd file with examples of equations, knitted Word file and HTML file
- A 2-page "cheatsheet" of R markdown syntax.
- R markdown slides
R/R Studio - Introductory labs to help get started
Anyone who has not used R before should go through the three introductory labs from STAT 211 listed below (you do not need to turn in your work on these).