#  R Resources 

 



- Installation
    - [R installation guide](/file_url/209)
- Short Tutorials
    - [R tutorial from Gov department PreFresher](http://projects.iq.harvard.edu/prefresher/additional-r-resources)
    - [R Project for Statistical Computing](http://www.r-project.org/) (go [here](http://watson.nci.nih.gov/cran_mirror/) to install R)
    - [R tutorial for beginners to programming](http://scholar.harvard.edu/pettigrew/r-tutorial)
    - [Quick-R](http://www.statmethods.net/)
- Detailed Tutorial
    - [UCLA Guide to R](https://stats.idre.ucla.edu/r/)
    - [Datacamp Intro to R Course](https://www.datacamp.com/courses/free-introduction-to-r)
    - [Tidyverse Tutorial](https://github.com/michaellevy/tidyverse_talk/blob/master/tidyverse.md)
    - [ggplot (plotting) tutorial](http://tutorials.iq.harvard.edu/R/Rgraphics/Rgraphics.html)
- Free Reference Books
    - [R for Data Science](https://r4ds.had.co.nz/)
    - [R Package](https://r-pkgs.org/)
    - [Advanced R](https://adv-r.hadley.nz/)
    - [Efficient R Programming](https://csgillespie.github.io/efficientR/)
- Other Resources 
    - [R Reference Card](http://cran.r-project.org/doc/contrib/Short-refcard.pdf)
    - [R Studio](http://rstudio.org/)
    - [RSeek](http://www.rseek.org/)
    - [R Wiki](http://rwiki.sciviews.org/)
    - [R Bloggers](http://www.r-bloggers.com/)