Tom Backer Johnsen wrote: > The other day I was looking into one of the classics in resampling, > Eugene Edgington's "Randomization Tests". This type of test is simple > to do in R with things like a simple correlation, the sample () > function is perfect for the purpose. > > However, things are more complex if you have grouped data, like a > one-way ANOVA. The reason is that you have to avoid the consideration > of what Edgington calls "mirror samples", shuffles that only move data > within the groups. After all, one only wants to consider changes > bewteen groups. In that case (I think) the sample () function is too > general. > > Are there something that can handle this in R?
After a few hours thinking on and off about the problem, I suspect that the question may be stupid or silly (or both). If that is the case, I would very much like to know why. Again, Tom ______________________________________________ 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.
