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? 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.
