LMM without Random effect: I want to run an LMM both with and without the random factor (ID). And then extract the log-lik values from the two models in order to generate a p-value.
with random factor as: lmer(y~x+(1|ID),data) Question: can I simply substitute a dummy var (e.g. populated by zeros) for "ID" to run the model without the random factor? when I try this R returns values that seem reasonable, but I want to be sure this is appropriate. >From other inquires in the forum it seems that substituting ("ID-1") or some variant like that, does not work. Thanks for your thoughts. Baugh -- View this message in context: http://r.789695.n4.nabble.com/lmm-WITHOUT-random-factor-lme4-tp3384054p3384054.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.