R Class

Lessons

1. Language fundamentals: R1.R   R1Sol.R
2. Loading data / simple stats: R2.R  nohead.txt  heat.txt  csv.csv  tabbed.dat  skipsome.txt  pres.sav  data1.dat  R2Sol.R
3. Graphics / Function writing: R3.R   R3Sol.R
4. Linear models: R4.R   singers.txt   diaper.dat   neurological.sav  R4Sol.R
5. Resampling methods: R5.R
6. Creating variables / PCA: R6.R   JDM coding.sav   R6Sol.R
7. Mixed Models I: R7.R   tiring.txt   wallaby.dat
8. Models with count data: R8.R   adclick.csv   adclick2.csv
9. April 10: Function Writing II: R9.R   LREDA0.R   LREDA.R
10. April 17: Survival Analysis R10.R
11. April 24: Time Series R11.R
12. May 1: ANCOVA: R12.R   ANCOVAtheory.pdf   candy.dat   exercise.dat

Misc

• Books
  • SPLUS: The Basics of S and S-PLUS by Krause and Olson
  • Introductory Statistics with R by Peter Dalgaard
  • In Introduction to R by Venables and Smith
  • Modern Applied Statistics with S-PLUS by Venables and Ripley
  • S programming by Venables and Ripley
• Main R web page
• On-line documents
• Loading R
  1. Go to http://lib.stat.cmu.edu/R/CRAN
  2. Under Download and Install R choose "Windows (95 and later)"
  3. Choose "base"
  4. Download the exe for the lastest version (R-2.4.1-win32.exe) to some directory on your computer
  5. Run that exe program with everything left as the defaults.
• Running R on Windows for multiple projects
  1. Create a separate directory for each project. Then put a Windows shortcut to R in that directory with "Target" something like: "C:\Program Files\R\R-2.4.1\bin\Rgui.exe" --sdi and with "Start in:" containing the quoted name of the project directory.
  2. Start R with the shortcut.
  3. Use help.start() to get help.
  4. End R with q(), normally answering "y" to the save message.

All links active 1/19/2007. Please report missing links, errors, and suggestions to

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