# Resources

## Downloading R and RStudio

Install R and RStudio on your computer by downloading them from the following sources:

- Download R from The Comprehensive R Archive Network (CRAN)
- Download RStudio from RStudio.com

## Online Learning

- DataCamp. Excellent interactive tutorial if you’ve never used R before.
- Lynda. UCL has a subscription to Lynda which gives you free access to over 3000 courses including these courses on R:
- Try R. An interactive tutorial from Code School that walks you through the basics of R.
- Institute for Digital Research and Education, UCLA. Tutorials, examples, and datasets from IDRE at UCLA.
- Data & Statistical Services, Princeton. Data analysis tutorials on R from Princeton.
- R Tutorial from University of Georgia. Another good tutorial with plenty of examples.
- OpenIntro. Open-source courseware with R tutorials and datasets.
- Introductory Course from Science & Technology Corp. Collection of tutorials on R, RStudio, dplyr, and ggplot2
- Introduction to R. Notes from R Introductory workshop.
- Data wrangling, exploration, and analysis with R. Content from UBC’s course on statistics focused on data exploration, analysis and visualizations.
- Computing with Data Seminar. Short course in advanced R programming from University of Notre Dame.

## Graphics and Visualizations

## Documentation

- Manuals, Reference and Miscellaneous Material
- Packages. There are numerous online resources where you can get documentation for R packages. While you can always use Google to look for help, these sources offer easy access to documentation for nearly every R package available.