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


Authors: 
T. Lynn Eudey, Joshua D. Kerr, and Bruce E. Trumbo
Volume: 
18(1)
Pages: 
online
Year: 
2010
Publisher: 
Journal of Statistics education
URL: 
http://www.mstat.org/publications/jse/v18n1/eudey.pdf
Abstract: 

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

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education