[R] grouping explanatory variables into "sets" for GLMM
maria.kernecker at mail.mcgill.ca
Thu Apr 3 15:54:08 CEST 2014
I am trying to run a GLMM following the procedure described by Rhodes et al. (Ch. 21) in the Zuur book Mixed effects models and extensions in R . Like in his example, I have four "sets" of explanatory variables:
1. Land use - 1 variable, factor (forest or agriculture)
2. Location - 1 variable, factor (riparian or upland)
3. Agricultural management - 3 variables that are binary (0 or 1 for till, manure, annual crop)
4. Vegetation patterns - 4 variables that are continuous (# of plant species in 4 different functional guilds)
How do I create these "sets"? I would like to build my model with these "sets" only instead of listing every variable.
Also: is there a way of running all possible models with the different combinations of these sets and/or variables, sort of like running ordistep for ordinations?
Thanks a bunch in advance for your help!
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