I am trying to understand better an analysis mean RT in various conditions in a within subjects design with the overall mean RT / subject as one of the factors. LME seems to be the right way to do this. using something like m<- lme(rt~ a *b *subjectRT, random= ~1|subject) and then anova(m,type = "marginal"). My understanding is that lme is an easy interface for dummy coding variables and doing a multiple regression (and that could be wrong). But, what is aov doing in this instance? MANOVA? I also haven't been able to find anything really useful on what to properly assign to "random" in the lme formula. For repeated measures the use above is always in the examples.
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