Have you read "An Introduction to R" (or other online tutorial)? If not, please do so before posting further here. It sounds like you are missing very basic knowledge -- on factors -- which you need to learn about before proceeding.
?factor gives you the answer you seek, I believe. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." H. Gilbert Welch On Thu, Apr 3, 2014 at 6:54 AM, Maria Kernecker <maria.kernec...@mail.mcgill.ca> wrote: > 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. ______________________________________________ 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.
