Probably better to post this on the r-sig-mixed-models list. Cheers, Bert
On Jan 7, 2018 12:20 PM, "Dominik Ćepulić" <dcepu...@gmail.com> wrote: > Dear everybody! > > My fixed-effects-only model looks like this: glmer(Accuracy ~ C.RT*Group, > data = da) > > C.RT is the reaction time variable, and Group is a categorical variable > with 0 and 1 as values. I would like to specify that main intercept, Group > intercept, C.RT slope and C.RT*Group slope vary across subjects and trials. > > All subjects have values in Group = 0 and in Group = 1. Trials are nested > within Group because each trial belongs either to Group = 0 or Group = 1. > How should I specify the model? > > My ideas were: > > 1. glmer(Accuracy ~ C.RT*Group + (C.RT*Group|subject) + (1+C.RT|trial), > data = da) > > or > 2. glmer(Accuracy ~ C.RT*Group + (1+C.RT|Group:subject) + > (1+C.RT|Group:trial), data = da) > > Here, Group:trial does not make much sense as trials are *per se* divided > in Group 0 or Group 1. > > What is, in your opinion, the best way to specify the model that I want to > test? > > Additionally, the difference between (1+C.RT|Group:subject) and > (C.RT*Object|subject) is not clear to me. Can someone also shed some light > here? > > Thanks, > Dominik! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
