Dear Paul, First, to fit a multivariate linear model to your data, you'll have to rearrange the data from "long" format (with one observation per replicate) to "wide" format (with one observation per subject). If your data are in the data frame Data, then you'd do something like:
Wide <- reshape(Data, v.names="Angle", idvar="Subject", timevar="Replicate", direction="wide") Then, with the data in wide format, fit a multivariate linear model with just a constant: mod <- lm(cbind(Angle.1, Angle.2, Angle.3, Angle.4, Angle.5, Angle.6) ~ 1, data=DavisThin) Finally, use Anova() to get the tests: idata <- data.frame(Replicate=c("Angle.1", "Angle.2", "Angle.3", "Angle.4", "Angle.5", "Angle.6")) summary(Anova(mod, idata=idata, idesign=~Replicate)) If I understand correctly what you want, this should give it to you. As well, since your design has no between-subject factors and only a single within-subject factor, you could also use anova() [i.e., anova.mlm()] to get the same results. I hope this helps, John ------------------------------ John Fox, Professor 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 pgseye > Sent: January-29-09 7:40 PM > To: r-help@r-project.org > Subject: [R] Q about how to use Anova.mlm > > > Hi, > > Am newish to stats and R, so I certainly appreciate any help. Basically I > have 50 inidividuals whom I have 6 photos each of their optic nerve head. I > want to check that the orientation of the nerve head is consistent, ie the 6 > replicates show minimal or preferably no rotation differences. I'll draw an > arbitrary line between some blood vessels (same reference in each set of > replicates) and determine an angle of deviation from the vertical and that > angle will be my dependent variable. > > Subject Replicate Angle of Deviation > 1 1 x > 1 2 x > 1 3 x > 1 4 x > 1 5 x > 1 6 x > 2 1 x > 2 2 x > 2 3 x > 2 4 x > 2 5 x > 2 6 x > etc > > I'm wanting to test for Sphericity (because I've read that you should - is > this routine in a repeated measures ANOVA?) and can see that Anova.mlm in > the CAR package offers this in addition to the alternative Greenhouse and > Feldt tests. > > I just don't really know how to perform the test - can someone give me some > help. > > Thank you. > > Paul > > Dept of Ophthalmology > Uni Melbourne, Australia > -- > View this message in context: http://www.nabble.com/Q-about-how-to-use- > Anova.mlm-tp21739443p21739443.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.