charachter vector specyfying the 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 Least Squares Means (population means) table with p-values and Confidence intervals.
Note
For construction of the contrast matrix popMatrix function from doBy package was used.
Author(s)
Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen
References
doBy package, gplots package
See Also
step, rand, difflsmeans
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
lsmeans(m1, test.effs="Gender:Information")
m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo)
plot(lsmeans(m))
lsmeans(m, test.effs="TVset")