Using R to Simulate Permutation Distributions for Some<br>Elementary Experimental Design

Null distributions of permutation tests for two-sample, paired, and block designs are simulated<br><br>using the R statistical programming language. For each design and type of data, permutation<br><br>tests are compared with standard normal-theory and nonparametric tests. These examples (often<br><br>using real data) provide for classroom discussion use of metrics that are appropriate for the data.<br><br>Simple programs in R are provided and explained briefly. Suggestions are provided for use of<br><br>permutation tests and R in teaching statistics courses for upper-division and first year graduate<br><br>students