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lme4 and nlme are R packages used for fitting linear, generalized linear and nonlinear mixed effects models. For general questions about mixed models use [mixed-model] tag.
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Help with Linear Mixed Model creation and correct post-hoc in R
I have a table with 10 columns;
Day
Subject
Treatment_1 - Treatment_8
I wanted to run a 2 factor repeated measures ANOVA but I have quite a few missing values so from what I read a LMM is the best …
0
votes
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answer
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How to construct a Linear mixed model for repeated measures with Missing Not At Random value...
Rdata file of dataset
I have recorded the maximum angle of movement, in terms of degrees, of a mouse limb in response to varying durations of electric stimuli for a number of days before and after an …
0
votes
Accepted
How to construct a Linear mixed model for repeated measures with Missing Not At Random value...
Ultimately I used glht from the multcomp library.
results.data = lmer(One ~ Day + (1|Mouse), data = PeakAngle)
summary(glht(results.data, linfct=mcp(Day="Tukey")), test=adjusted("bonferroni"))
mcp(D …