Dear R Colleagues, I run the following two models:
mod1 <- lmer(y ~ category + subcomp + (1 | id)) mod2 <- lmer(y ~ category + subcomp + category*subcomp + (1 | id) where: category has 4 possible values subcomp has 24 possible values id has approx 120 values (id is nested within category, and in unequal numbers--i.e., unbalanced) Then to look for differences in the models I run: anova(mod1, mod2) I receive this warning message after the last command: In data != data[[1]] : longer object length is not a multiple of shorter object length I think I know why this is happening (i.e., the two models are of different length). Is my surmise correct? If I am correct I don't think I should worry. Should I? Thanks. ______________________________________________ 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.
