Hello,
I have the following model:
model <- lmer (Y ~ gen + (1|env) + (1|gen:env))
I would like to use Tukey's method to identify significant pairwise differences
among levels of the factor gen, which has 18 levels. (Env has 3 levels.)
I have been trying to do this using glht and cld in the package multcomp.
This is what I ran, with notes about the output.
tukey.gen <- glht(model, linfct=mcp(gen = "Tukey))
summary(tukey.gen)
# This resulted in 46 warnings that said, "In RET$pfunction("adjusted", ...) :
Completion with error > abseps."
cld(tukey.gen, level=0.05)
# This was my attempt to extract letters to represent Tukey results. I did get
letters for each level of gen, but they came alongside the same warning as
above, repeated over 50 times.
Why am I getting these warnings? Should I not use the results of cld, given
these warnings? How can I avoid the warnings?
I would be very grateful for any advice for how to successfully use Tukey's
method for gen in this model, as well as for how to extract letters to denote
significant differences. Either suggestions for adjusting my code or for a new
approach entirely would be fine.
Thank you,
Lauren
PhD Candidate
Department of Botany
University of Wisconsin-Madison
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