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R is a free, open source programming language for statistical computing. It can be used for statistical analysis, data process automation and more!
Introductory Guides | R Workshops and Tutorials | Other Resources
Introductory Guides
- Learn R Programming: The Definitive Guide
- An Introduction to R
- Workshop slides from the Data Service team
- Introduction to Data Science with R
- YouTube (1h22min)
- Tutorials for learning R
- By R-bloggers
R Workshops and Tutorials
- Using R
- Provides access to numerous resources and workshops
- You're a student: The swirl R package
- A good R tutorial which you run in R itself
- Data Analysis in R
- Three-part workshop series from University of British Columbia
- R Open Labs
- A set of open access lessons and workshops from the University of North Carolina. R Open Labs learning R starting at an introductory level and moving to specific libraries such as Shiny.
- UBC Library Research Commons
- A set of open access workshops and skill exercises ranging from digital scholarship, to data analysis, visualization , GIS and RDM. Some workshops include tutorials for R, Tableau and Excel.
Other Resources
- Learn, Share, Build: Stack Overflow
- Free to join community where you can ask questions about R, SAS, Python, etc… Community answers back quickly
- UCLA Statistical Methods and Data Analysis in R
- Helpful guide from UCLA that includes a guide choosing the correct statistical tests in SAS, Stata, SPSS and R
- R Reference Card
- Great 4 page document with commonly used commands
- SAGE Research Methods
- Access to numerous resources including books and video tutorials for all levels
- Web Scraping
- Tutorial on Basic Web Scraping with RSelenium
