Dear all, 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! Maria ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
