Hi janesense, You might find it useful to go through the tutorial listed here for help: http://www.r-statistics.com/2010/04/repeated-measures-anova-with-r-tutorials/
Cheers, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Tue, Nov 16, 2010 at 3:31 AM, janesense <dumb_je...@hotmail.com> wrote: > > Hi everyone, > > I'm having a little trouble with working out what formula is better to use > for a repeated measures two way anova. I have two factors, L (five levels) > and T (two levels). L and T are both crossed factors (all participants do > all combinations). So, I do: > > summary(aov(dat~L*T+Error(participant/(L*T)),data=dat4)) > > But get different results with: > > anova(lme(dat~L*T,random=~1|participant,data=dat4)). > > Rather, the lme results are the same as those with the formula > > summary(aov(dat~L*T+Error(participant),data=dat4)) > > I know most people advocate the use of lme rather than aov, but I think I > need to include factors L and T in the error term and can't figure out how > to do this with lme, so possibly the first aov is more correct. I have a > balanced design so I don't think it would be a problem to use aov. > > The first aov shows an expected significant interaction (unlike lme and the > second aov), but I don't want to use this if it's incorrect! > > If anyone could help, that would be great. > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/AOV-LME-tp3044118p3044118.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. > [[alternative HTML version deleted]] ______________________________________________ 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.
