charachter vector specifying names of terms to be tested. If NULL all the terms are tested.
ddf
By default the Satterthwaite's approximation to degrees of freedom is calculated. If ddf="Kenward-Roger", then the Kenward-Roger's approximation is calculated using KRmodcomp function from pbkrtest package. If ddf="lme4" then the anova table that comes from lme4 package is returned
...
other potential arguments.
Value
Produces Differences of Least Squares Means (population means) table with p-values and Confidence intervals.
Author(s)
Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen
See Also
lsmeans, step, rand
Examples
## import lme4 package and lmerTest package
library(lmerTest)
## specify lmer model
m1 <- lmer(Informed.liking ~ Gender*Information +(1|Consumer), data=ham)
## calculate least squares means for interaction Gender:Information
difflsmeans(m1, test.effs="Gender:Information")
m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo)
plot(difflsmeans(m, test.effs="TVset"))