The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include
- R basics - reading and manipulating data, working with R data objects, doing calculations, making plots
- programming in R
- doing statistics/data analysis/data science in R
- a brief intro to more advanced topics: efficiency, object-oriented programming, parallel processing in R
No prior experience with R is expected, but some familiarity with programming concepts such as variables, loops, if-then-else statements, functions, etc. will be helpful.
The course website is on Github. Course content is available there and will be updated in real-time. The site also has instructions on how to prepare for the course, which is basically just getting the software set up on your laptop.
Registration: To attend you must register. Please fill out this form and we'll let you know within a week whether you're registered or on the wait-list. Priority will be given to Berkeley grad students, postdocs, staff, and faculty, followed by those affiliated with another university or government agency, then Berkeley undergrads, and finally participants from for-profit organizations. Undergraduates interested in R should consider taking Statistics 133.
Cancelling your registration: If you have registered and realize you cannot attend, PLEASE let us know via this form so that we can let people on the wait-list attend.
Questions? Email r-bootcamp@lists.berkeley.edu.
Co-Hosts: Statistics & D-Lab
