Dear all,
I'm trying to perform a poisson GLM with lme4 using the number of
individuals as dependent variable and i) years of study and ii) different
study areas as factors... So far so good..
But the results are quite curious... The estimates and standard errors are
huge.. Is is normal? I
Rox
If anno is year and year is 2000:2010 (or whatever) and you have a
negative relationship then extending this back to 0 (the intercept) will
yield quite a large number (2000*0.07=140 for instance). Does coding year
as year of study (1:10) or even (-4:5), if you wanted the intercept to be
in
Dear Zoltan,
Thank you for this interesting suggestion. I'm wondering if you might be
able to suggest any papers that have used this approach in past?
It does have the advantage of maintaining many of the community patterns
that are often associated with functional diversity indices - i.e. total
