Hi Christoph, > Am I right in this lme implementation, when I want to investigate the > influence of the age.group, and the two conditions on the rt: > > my.lme <- lme(rt ~ age.group + angles * hands, data = > my.data, random = ~ 1 |subject) > > then I think I would have to compare the model above with a more > elaborated one, including more interactions: > > my.lme2 <- lme(rt ~ age.group * angles * hands, data = > my.data, random = ~ 1 |subject) > > and comparing them by performing a likelhood-ratio test, yes?
If you compare these two models, you test whether the interactions of age.group with angles and hands and the three-way interaction all together make for a significant improvement of the model. Is that what you want? Also note: if you do this, you need to use the method ML and not the default REML. Or you start with the second model, use anova (my.lme2) and reduce the model stepwise. You can also ask whether there is a subject to subject variability in variables other than the intercept (i.e. interactions between your random and the fixed variables) and e.g. try things like random = ~ age.group + angles * hands | subject > I think, if I would like to generalize the influence of the experimental > conditions on the rt I should define angles and hands as a random effect, > yes? I do not see exactly what you aim at, here. Possibly, the second part of my answer above is an answer to this as well? > thanks for a short feedback. It seems, repeated-measures > anova's aren't a trivial topic in R :) They never are. But, after having read most of Pinheiro and Bates' book 'Mixed effects modelling in S and S-PLUS' (Springer), it seems easier to me than ever, because they use a consistent, integrated and concise approach. Regards, Lorenz - Lorenz Gygax, Dr. sc. nat. Tel: +41 (0)52 368 33 84 / [EMAIL PROTECTED] Center for proper housing of ruminants and pigs Swiss Veterinary Office agroscope FAT Tänikon, CH-8356 Ettenhausen / Switzerland Fax : +41 (0)52 365 11 90 / Tel: +41 (0)52 368 31 31 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html