FW 5412 - Regression with the R Environment  Use of R for basic data manipulation, statistical summary and regression. Topics include installing R, data import and export, basic statistics, graphics and fitting of linear, non-linear and mixed-effects models. Credits: 1.0 Lec-Rec-Lab: (0-1-0). Restrictions: Must be enrolled in one of the following Level(s): Graduate. Co-Requisite(s): FW5411.

Course Syllabus

You can download the 2006 syllabus here.

Textbooks

W.N. Venables, D.M. Smith and the R Development Core Team. 2006. An introduction to R.  Available here.

Grading

Your course grade is a function of how many FW5411 homework assignments you complete successfully
in R: 100%=A, >80%=B, >70%=C, >50%=D and <50%=F. Note the emphasis on the word
“successfully”.

About the Class

You will need to use real statistical software (i.e., not Excel) to complete the homework in FW5411 - Applied Regression Analysis.  A good choice is R, which is powerful, open-source, cross-platform and best of all completely free. If you sign up for FW5412 and do the assignments for FW5411 in R you will get extra credit. That is all FW5412 is about!

For those students registered for FW5412, the computer lab in FRES room O139 is reserved Thursdays from 1:00-2:00 p.m.

For more info about R see http://www.r-project.org.  MTU is an official mirror for the Comprehensive R Archive Network (CRAN), from which you can download R and R packages.