Below.

On Tue, Oct 4, 2011 at 7:34 AM, Panagiotis <pat2@hi.is> wrote:

> Hi,
>
> I applied a linear mixed effect model in my data using the nlme package.
> lme2<-lme(distance~temperature*condition, random=~+1|trial, data) and then
> anova.
> I want to ask if it is posible to get the least squares means for the
> interaction effect and the corresponding 95%ci. And then plot this values.
>

Uh-Oh. You may have unloosed "The Wrath of Khan" -- or at least of Venables.
(An explanation of this cryptic remark should follow from others, so please
do not ask me what it means if you do not know).
:-)

-- Bert


>
> Thank you
> Panagiotis
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Question-about-linear-mixed-effects-model-nlme-tp3871203p3871203.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
"Men by nature long to get on to the ultimate truths, and will often be
impatient with elementary studies or fight shy of them. If it were possible
to reach the ultimate truths without the elementary studies usually prefixed
to them, these would not be preparatory studies but superfluous diversions."

-- Maimonides (1135-1204)

Bert Gunter
Genentech Nonclinical Biostatistics

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