Homework assignments, after the first two, require use of the R statistical computing package. The original Course Notes used the Minitab package, but R is now much more widely available, and it is free. The material linked below includes an R Software Introduction for Stat 571 to help you get started. In addition, we rewritten the Appendix information from the Course Notes using R.

Remember, computing parts of homework should clearly show what you did and how. Be concise; condense computing session to highlight findings. Organize your analysis and interpret your results as instructed in the assignments.

Each appendix has a separate file of R code for the examples of that
appendix. You can either open that R code by clicking below, or use
the R `source` command as shown below to see the results on
your own system. Here is one way to `source` the Appendix 2 commands
from inside R, if you are on the Internet:

par( ask = TRUE ) source( "http://www.stat.wisc.edu/~yandell/st571/R/append2.R", echo = TRUE )The

- R Software Introduction for Stat 571
- Table of R Commands used in Stat/For/Hort
571 Appendices
- Course Notes Appendices Using R (with R code available separately)
- 2.12 Appendix: Descriptive Statistics with R (R code)
- 4.4 Appendix: Computing Probabilities with R (R code)
- 5.7 Appendix: Using R for Sampling Distributions (R code)
- 6.9 Appendix: Conducting Tests in R (R code)
- 7.6.2 Appendix: Using R to Find Confidence Intervals (R code)
- 8.5 Appendix: Normal Score Plots in R (R code)
- 9.4b Appendix: Investigating Power with R (R code)
- 10.9 Appendix: The Use of R for Two-Sample Comparisons (R code)
- 11.9 Appendix: An Example of R Output for ANOVA (R code)
- 12.4b Appendix: Multiple Comparisons Using R (R code)
- 13.9 Appendix: Example of the Use of R (R code)
- 14.8 Appendix: R Output for the Samara Example (R code)
- 15.4.1 Appendix: Using R to Calculate Correlations (R code)

Maintained by Brian Yandell (