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
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
Unless there is reason to keep the conversation private, always reply
to the list. How will anyone else know that my answer wasn't
satisfactory?
1. I don't intend to go through your references. A minimal
reproducible example of what you wish to do and what you tried would
help.
2. Have you read
Reading the Intro, as Bert suggests, would likely solve some of your problems.
If you think about how many combinations it would take, using only one variable
from each group in any one model, you would see that the number of individual
models (12) is not so onerous that you couldn’t specify
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