[cc'ing back to r-sig-ecology]
[Please keep sending replies to r-sig-ecology so that others may
benefit from the conversation, and so that others can answer if I
can't or am too busy (!)]
I don't know what you mean by the "degree of fit to your data". Are
you trying to do a goodness-of-fit t
On Thu, Jul 29, 2010 at 10:07 AM, Javier Martinez
wrote:
> The question is, can I really use a
> mixed model if I only have two cases per group?
In general, yes. E.g., the matched pairs t-test is subsumed by the LMM.
However, it sounds as though the plan is to fit many quasibinomial
GLMMs to a
Thanks to all of you! I did know the e-mail by Bates, which is out of
my understanding, but I did not know the wiki on mixed models and the
manuscript by Bolker! My data are based on 2 temporal samples from 8
different sites. I use mixed models because I want to avoid
pseudo-replication including t
Hi Javier, see:
https://stat.ethz.ch/pipermail/r-help/2006-May/094765.html
Cheers
Etienne
Le mercredi 28 juillet 2010 à 18:44 +0200, Javier Martinez a écrit :
> Dear R-users,
>
> I am using the 'lmer' function from package 'lme4', looking for a
> regression model which takes into account the
Dear R-users,
I am using the 'lmer' function from package 'lme4', looking for a
regression model which takes into account the grouped nature of my
data. I am using frequencies as the dependent variable and percentages
as the independent one. After some reading I think I should use the
'quasibinomi
