This course is an introduction to R for the complete beginner. My goal is for students to leave the course feeling comfortable enough with R to be able to find solutions for their particular analysis needs.

### Installation

If you don't already have R installed somewhere, please follow these instructions to do so.

### Week 1 (11 September): A first session in R

Handout: in-class calculator worksheet with homework exercises at end.

Owen homework exercises script [posted after you have turned in your homework]

### R resources

Quick R: Lots of nice information, particularly for users of SAS, SPSS, and Stata. Example-driven approach.

Cookbook for R (formerly R Cookbook): Just as the name suggests, this has contributed "recipes" for analysis. Useful, but you have to do some digging.

R for Matlab users: Nice table of R commands side-by-side with Matlab commands (for those of you coming from a Matlab background).

Google "R cran < topic >"