R help - Aug 2016 - glmer and glht

Dear R colleagues,

The effect of habitat type on bee species number was tested using a glmer model
with habitat as fixed effect (5 habitat types) and site and time as random
terms.
The idea was now to conduct post hoc tests with glht (package
"multcomp") for pairwise comparisons. The matrix was defined by
symbolic description (linfct=c("habitat1=0", "habitat2=0"?).
My question: I am now interested about the detailed statistic behind glht? As I
was not applying ANOVA and mcp=Tukey, it is for sure not a Tukey test, but is it
a LSD, Cuncan, Hochberg?.and is the test suitable for an unbalanced data set
(not every habitat occurs at every site?)

With best wishes
Sibylle






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Extensive references are given in the package. I suggest that you consult them.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Aug 15, 2016 at 9:09 AM, Sibylle St?ckli
<sibylle.stoeckli at gmx.ch> wrote:
> Dear R colleagues,
>
> The effect of habitat type on bee species number was tested using a glmer
model with habitat as fixed effect (5 habitat types) and site and time as random
terms.
> The idea was now to conduct post hoc tests with glht (package
"multcomp") for pairwise comparisons. The matrix was defined by
symbolic description (linfct=c("habitat1=0", "habitat2=0"?).
> My question: I am now interested about the detailed statistic behind glht?
As I was not applying ANOVA and mcp=Tukey, it is for sure not a Tukey test, but
is it a LSD, Cuncan, Hochberg?.and is the test suitable for an unbalanced data
set (not every habitat occurs at every site?)
>
> With best wishes
> Sibylle
>
>
>
>
>
>
>         [[alternative HTML version deleted]]
>
>
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