[R] grouping explanatory variables into "sets" for GLMM

[Bert Gunter]

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.kernecker at 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
>
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