Introduction to R for data analysis. Covers installing R; scripts; reading in data and writing output; using help files; using functions; writing functions; graphics; R packages; data manipulation; loops; permutation tests; bootstrapping; and fitting models. Prerequisites: upper-division course in statistics or permission of instructor.