BIOST 509 Introduction to R for Data Analysis in the Health Sciences (2)
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.
Past syllabus: 2019_AUT_BIOST_509_WillisA.pdf199.51 KB