R Appendices for the Stat/For/Hort 571 Course Notes

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/~st571-1/R/append2.R", echo = TRUE )

• 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)
    • Java Applets for Visualization of Statistical Concepts (U Leuven, Belgium)
  • 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)
    • An Example of ANOVA using R (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)