Dear r-help, I have a question about the std error of a lmer model with library (LmerTest).
I have 12 sites with 6 treatments over each site. I measured some response variable (biomass_of_insects) (with a gaussian distribution). I did : library (LmerTest) model<- lmer((biomass_of_insects) ~ as.factor(treatments) + (1 | sites)) However, the response of the model show always the same std error (see below): Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 501.333 80.656 66.000 6.216 3.91e-08 *** as.factor(treat)F 126.667 114.065 66.000 1.110 0.271 as.factor(treat)I -8.333 114.065 66.000 -0.073 0.942 as.factor(treat)I+F1/3 -75.000 114.065 66.000 -0.658 0.513 as.factor(treat)I+F2/3 18.333 114.065 66.000 0.161 0.873 as.factor(treat)I+F3/3 15.917 114.065 66.000 0.140 0.889 Do you know why std.error is always the same ? Thank you very much, Aline [[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.