I have no problem setting up my mixed model, or performing anova or lsmeans on my model’s outputs. However, performing lsd mean separation is giving me fits.
So I do not have a problem when using two-way anova model. When using the code: fit.yield.add <- lm(data = ryzup, Yield ~ Rep + Nitrogen + Treatment) LSD.test(fit.yield.add, trt = "Nitrogen", alpha = 0.1, console = TRUE) It works beautifully. However when I run a mixed model: yield.lmer <- lmer(data = ryzup, Yield ~ Nitrogen + Treatment + (1|Rep/Nitrogen), REML = FALSE) LSD.test(yield.lmer, trt = "Nitrogen", alpha = 0.1, console = TRUE) It gives me fits. It produces errors like: Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class "structure("merModLmerTest", package = "lmerTest")" to a data.frame Do you have any suggestions for that? Thanks [[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.