Dear Ingo, One approach would be to use the Anova() function in the car package. See ?Anova and in particular the O'Brien and Kaiser example, which is for a more complicated repeated-measures design. If you want to get "type-III" tests (as opposed to the default "type-II" tests), be careful with the contrast coding for the between-subjects factors.
I hope this helps, John -------------------------------- John Fox Senator William McMaster Professor of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of protonringe > Sent: December-13-09 11:29 AM > To: r-help@r-project.org > Subject: [R] Repeated Measures Analysis - GLM > > > Hello to the R world... > > I have some problems regarding a GLM - repeated measures analysis. > > I want to test overall differences between AgeClass and Treatment (between > subject) with OpenR1+OpenR2+OpenR3 (repeated measures, within subject). The > table looks kind like this: > > AgeClass Treatment OpenR1 OpenR2 OpenR3 > 1 1 0 0 12.63 > 1 1 12.67 3.83 45.67 > 1 1 38.46 65.38 75.21 > 1 1 14.46 0 17.96 > 1 2 27.83 47.33 66.38 > 1 2 15.75 0 10.21 > 1 2 43.96 41.04 51.88 > 1 2 52.96 55.54 41.58 > 1 3 43.13 71.25 82.71 > 1 3 0.25 18.46 27.04 > 1 3 0.79 21.75 68.38 > 2 1 0 0 0 > 2 1 0 0 0 > 2 1 1.17 18.75 45.67 > 2 1 0 0 0 > 2 1 0 0 49.42 > 2 2 2.13 0 26.63 > 2 2 0 8.13 23.88 > 2 2 2.25 0 0 > 2 2 30.96 25.71 10.92 > 2 3 33.33 30.71 16.63 > 2 3 0 20.04 14.88 > 2 3 24.96 0 3.88 > . > . > . > > I tried several things, for example this: > aov(?????~(OpenR1*OpenR2*OpenR3*AgeClass*Treatment)+Error(??????/(OpenR1*Ope n > R2*OpenR3))+(AgeClass*Treatment)) > > I don't really know what response-variable to use, or what the > subject-variable is.... > > There is no problem to create the model with SPSS, but for my Diploma-Thesis > in biology i want to do all the statistics with R... > > Regards and many thanks in advance.... > > Ingo > > > -- > View this message in context: http://n4.nabble.com/Repeated-Measures- > Analysis-GLM-tp963016p963016.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. ______________________________________________ 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.
