search for: subjectrt

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 an...

...eople will tend to show a postitive effect across the independent variable (A1>A2) while slow people will show a negative effect (A1<A2). The editor suggested that I perform an analysis that looked at the interaction between my mean subject RT and my independent variable A on RT (rt ~ A:subjectrt). But, isn't this wrong given that one of the independent variables is necessarily related to the dependent variable? I don't have anything against finding this interaction in principle. But, it seems to me that performing the median split I had originally planned and looking at the...