**How to get R?**

- R is an open source (free) software environment for statistical computing and graphics available through the R Project for Statistical Computing.

**Installing and Updating R**

- Go to the R Project for Statistical Computing webpage: https://www.r-project.org/
- Once on the R Project for Statistical Computing webpage, follow the instructions under
**Getting Started**. - You will first be asked to choose a CRAN Mirror at a location that is close to you.
- A CRAN Mirror a collection of web servers, each with an identical copy of all the information on the comprehensive R archive network.
- Choosing the mirror that is closest to you reduces internet traffic.

- Once on the R Project for Statistical Computing webpage, follow the instructions under

**RStudio**

- After installing R, we recommend installing RStudio to use as the interface for using R.
- Go to the RStudio webpage: https://rstudio.com/
- Once on the RStudio webpage, click on
**DOWNLOAD**. - There will be several RStudio versions to choose from.
- Most people choose the free RStudio Desktop version.

- Once on the RStudio webpage, click on

**Use R and RStudio in an EHE Virtual Computer Lab**

**Recommended R Resources**

- Harvard-The Institute for Quantitative Social Science
- Quick-R by DataCamp
- tutorialspoint
- Hands-On Programming with R by Garrett Grolemund
- R for Data Science by Hadley Wickham and Garrett Grolemund
- Applied Missing Data Analysis with SPSS and (R)Studio by Martijn W. Heymans and Iris Eekhout
- Discovering Statistics Using R by Andy Field
- R: Institute for Digital Research & Education (IDRE) at UCLA
- RDocumnetation
- Matloff, N. (2011).
*Art**of R**Programming: A**Tour of Statistical Software**Design*. No Starch Press.