Hi Folks, I have been using the TukeyHSD to conduct post hoc comparisons. The challenge is I have two interacting factors, one of which has 6 levels (cover types), and the other 2 (study areas). As a result interpreting the post hoc comparisons is difficult when you get a list of every possible combination (66 of them). In grad school I was using SAS and I recall most of the post hoc tests that were available there provided a nice summary with letters that made it easy to show which groups differed from one another within an ANOVA model that included a significant interaction. Is there a way to summarize my result in R that makes it easier to indicate significant post hoc comparisons graphically?
Thanks for your help, Doug Reid CNFER Lakehead University [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.