This two-day short course introduces participants to the R statistical language. After a general overview of R syntax, workshop modules cover how to:
Instruction relies primarily on examples and short practice exercises.
All participants should have at least some experience writing statistical code (e.g., Stata scripting) or working in another programming language. A basic understanding of statistical modeling (e.g., OLS regression) is also required.
Participants in the 3rd day follow-up either need to have taken the first two days of the workshop or have permission of the instructor.
A laptop will be required for this workshop. Please plan to bring your personal one, and follow instructions below to install software before the start of the workshop. If you need to borrow a laptop, please contact CurryVEST@virginia.edu before Friday, May 11.
Before the workshop, participants will need to install R and R Studio, both of which are free and run on all major platforms, as well as number of R packages. It is important that participants attempt to install all software before the workshop because there will be limited time for troubleshooting. Other free software, such as Git, TeX, and Markdown, may also be referenced in the workshop, but will not be strictly required.
If you already have R, R Studio, and related packages, please update everything before the workshop.
See the getting started for links to required software and instructions for installing packages in R.
The 3rd day course will take place on Thursday, May 17. For a complete schedule and links to modules, see the schedule.
Ruffner Hall, LDCC (rm 302)
University of Virginia
405 Emmet Street South