Overview
R is a language and environment for statistical computing and graphics similar to the S language and environment developed at Bell Laboratories.
Workshop Schedule
All workshops will be held in Stabley 201 Computer Classroom (Library), which has 50 computers. There is no pre-registration necessary.
- Introduction to R
- Monday, March 25, 2013 - 12:20-1:10 p.m.
- Using R for Graphs
- Tuesday, April 16, 2013 - 9:30-10:20 a.m.
- Using R for T-Tests
- Tuesday, March 26, 2013 - 2:20-3:20 p.m.
- Using R for Multiple Regression
- Monday, April 8, 2013 - 12:20-1:10 p.m.
- Using R for Power Analysis
- Tuesday, April 9, 2013 - 9:30-10:20 a.m.
- Monday, April 15, 2013 - 12:20-1:10 p.m.
Presenters and Handouts
- Introduction to R
- Presenters: John Wayland and Jeremy Yagle
- Notes and Data Set: Workshop Handout, Data Set(Body)
- Using R for Graphs
- Presenters: Jeremy Yagle and Jon Wayland
- Notes and Data Sets: Workshop Handout, Data Set (USState Education Rates), Data Set(Body)
- Using R for T-Tests
- Presenters: Kyle Ward and Jon Wayland
- Notes and Data Sets: Workshop Handout, Data Set (Salaries)
- Using R for Multiple Regression
- Presenters: Tom Coyne and Jon Wayland
- Notes and Data Sets: Workshop Handout, Data Set (Used Honda Prices)
- Using R for Power Analysis
- Presenters: Ding Yu and Jeremy Yagle
- Notes: Workshop Handout
Workshop Logistics
Useful Links
The R Project for Statistical Computing (you can download R from here)
R Tutorials by Dr. W.B. King (Coastal Carolina University)