R is freely available, open source statistical software that has been widely adopted in the research community. Due to its open nature,
thousands of add-ons (“packages” in R parlance) are available that handle many specialized functions and implement the latest statistical
techniques. Ryan Womack, the Data Librarian, will be holding a three-part workshop series, “An Introduction to R”, covering the following topics:
*Getting Around in R: Basic Commands, Data Import and Manipulation (1st week)
*Statistical Techniques: Descriptive Statistics, Regression, Significance, Finding Additional Packages (2nd week)
*Graphics: comparison of graphing techniques of basic R, lattice, and ggplot2 packages (3rd week)
Workshops will run for three consecutive weeks at the following times; choose the time that is most convenient for you.
–Mondays 10-11:30 (Jan 24, Jan 31, Feb 7)
–Tuesdays 3-4:30 (Jan 25, Feb 1, Feb 8)
–Fridays 1-2:30 (Jan 28, Feb 4, Feb 11)
Put another way,
Getting around in R will be covered in the 1st week: Jan 24-28
Statistical Techniques will be covered in the 2nd week: Jan 31-Feb 4
Graphics will be covered in the 3rd week: Feb 7-Feb 11
All workshops will be held in Alexander Library, Room 413 (4th floor of the new wing).
Each workshop is self-contained and will be hands-on with the software. A beginner would want to attend all three, but if there is one aspect
you want to brush up on, it is fine to attend that single session as well. All sessions are first come, first served (the lab has 23 PCs). If you have R on your laptop, feel free to bring it too. There is no need to register.
Further information on R, including handouts from prior workshops, are available at