[R-sig-ME] Report results for GLMM

[Rafael Lima Oliveira]

Dear list members,

I'm using gamma-based GLMMs to estimate the effect of a set of continuous
environmental variables (salinity, temperature, pH, dissolved oxygen,
turbidity and depth) on rarefied species richness and fish density along
four coastal environments.

I´m using the “glmer” function from the “lme4” package and  the link
function used was the logarithmic. For each locality I ran a full model and
after that, I applied a model selection using the dredge function from the
MuMIn package. After performing this procedure, I  selected five models
ranked by the smallest AIC, and its related delta (ΔAIC) and weight.

I'm looking at other papers in my field to find examples of what  I
should report
in my results section.

In my results I report two tables, one for each response variable with the
information from the best model (smallest AIC) from the dredge output and Anova
output (Analysis of Deviance table - Type II Wald chisquare test). Besides
that, I report effect plots only for each statistically significant
predictor variable. Should I report Pseudo-R-squared for the best model?
Instead of reporting  Anova table should I report a table with the five
models ranked by smallest AIC from the dredge output?


Thanks for any answer!
Rafael
-- 
*Rafael Lima Oliveira*
Doutorando em Biologia Animal
Universidade Federal do Espírito Santo - UFES
Laboratório de Ecologia de peixes marinhos - CEUNES/UFES
*Contato:* (75) 98873-1548 / (27) 99526-3612
*E-mail alternativo:* rafael.l.oliveira using edu.ufes.br
*Currículo Lattes*:  http://lattes.cnpq.br/5215941704013482

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