Dear List Members,
I need to perform a Bonferroni post hoc test in R on a table with
three within subjects factors (Emotion, having 5 levels, Material,
having 4 levels, Shoes, having 2 levels) and one between subject factor
(Musician, having 2 levels).
I normally use the Tukey method with the following formula
require(nlme)
lme_H2H = lme(H2H ~ Emotion*Material*Shoes*Musician, data=scrd, random =
~1|Subject)
require(multcomp)
summary(glht(lme_H2H, linfct=mcp(Emotion = "Tukey")))
I am not able to find any reference that explains with an example of R
code how to perform a post hoc test with the Bonferroni procedure.
Can anyone provide an example to perform the same post hoc test in the
code above but with Bonferroni instead of Tukey?
Thank you in advance
Angelo
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