Hi I have data from an experiment that used a repeated-measures factorial 2x2 design (i.e. each participant contributed data to both levels of both factors). I need a non-parametric version of the repeated-measures factorial ANOVA to analyse the data. SPSS only has non-parametric tests for one-way ANOVAs but I have been told that the test I need can be implemented using the R software.
Unfortunantly I haven't been able to work out how to do this test in R. I've got the Wilcox book 'Robust Estimation and Hypothesis testing' but to be honest I don't have enough of a background in stats to understand a great deal of it, and I wasn't able to work out how to do the test I want. Can anyone let me know how I can do such a test in R? I presume this is a test that people frequently need to use and that there will be some code already written that can implement the test. Thanks Rob -- View this message in context: http://r.789695.n4.nabble.com/Non-parametric-repeated-measures-factorial-ANOVA-tp4118816p4118816.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
