Matthew Panichello <panichem <at> nmr.mgh.harvard.edu> writes: > [snip] > > I am interested in the effects of variables 'prime','time', and 'mood' > on 'reaction_time' while taking into account the random effect > 'subjects.' I've read through documentation on lme4 and came up with the > following formula for use with lmer: > > reaction_time ~ (mood*prime*soa) + (1|subject) > > Prime and soa were repeated measures within subjects, while mood was > manipulated between subjects. As I understand it, however, this > distinction does not affect how the formula should be written. > [snip]
This looks reasonable. If 'prime' and 'soa' vary within individuals, you might want to consider (mood*prime*soa) + (prime*soa|subject): see Schielzeth, Holger, and Wolfgang Forstmeier. 2009. “Conclusions Beyond Support: Overconfident Estimates in Mixed Models.” Behavioral Ecology 20 (2) (March 1): 416–420. doi:10.1093/beheco/arn145. http://beheco.oxfordjournals.org/content/20/2/416. Followups to r-sig-mixed-mod...@r-project.org. ______________________________________________ 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.
