Description Usage Arguments Value Note Author(s) References See Also Examples
Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation of degrees of freedom is Satterthwate's.
1 |
model |
linear mixed effects model (lmer object). |
test.effs |
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 |
... |
other potential arguments. |
Produces Least Squares Means (population means) table with p-values and Confidence intervals.
This is a new name of the old function lsmeans
. Reason for creating a new name is to not have conflicts with the lsmeans
function of lsmeans package. For construction of the contrast matrix popMatrix function from doBy package was used.
Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen
doBy package, gplots package
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## 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
lsmeansLT(m1, test.effs="Gender:Information")
m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo)
plot(lsmeansLT(m))
lsmeansLT(m, test.effs="TVset")
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