This is a typical problem we give as a homework to students. If you can't solve this yourself, you really need to brush up your statistical knowledge or look for a statistician close by to cooperate with.
Take a look at these : http://www.ats.ucla.edu/stat/r/seminars/repeated_measures/repeated_measures.htm http://gribblelab.org/2009/03/09/repeated-measures-anova-using-r/ http://www.r-statistics.com/2010/04/repeated-measures-anova-with-r-tutorials/ If you read through the documentation, you should get a fair idea of whether or not your data is suited to use a repeated measures anova, and if so, how you'd have to specify your model in R. Good luck with it. Cheers Joris On Thu, Jun 10, 2010 at 1:17 AM, Claus O'Rourke <claus.orou...@gmail.com> wrote: > Dear R Help, > > I have a general question - I know this is the R list, but I hope > someone can help me out a little as I've always found the help here to > be absolutely fantastic. > > I have run a psychological study where participants are given multiple > stimuli and their responses to those stimuli are measured on the same > numerical scale, i.e., the data is something like > > Participant Stimulus Measurement > p1 s`1 5 > p1 s`2 6.1 > p1 s`3 7 > p2 s`1 4.8 > p2 s`2 6 > p2 s`3 6.5 > p3 s`1 4 > p3 s`2 7 > p3 s`3 6 > > I would like to be able to measure the between participant variability > for my data - i.e., determine whether measurements are relatively > homogeneous across participants and whether there are very strange > outliers (i.e., participants who maybe gave random or purposefully > incorrect answers). > > Can anyone point me towards the correct type of tests for quantifying > this? I have read that a repeated measure ANOVA might be a starting > point. > > Many many thanks for any help you can give me! > > Claus > > ______________________________________________ > 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. > -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ 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.
