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.
Prefix
BIOST
Number
509
Credits
2
Variable Credit?
No
Credit/no-credit only?
No
Prereq
upper-division course in statistics or permission of instructor.
Joint Class?
No
Past Syllabi
2019_AUT_BIOST_509_WillisA.pdf199.51 KB