declaring the variables
There is a function glmm in the repeated package but I think the function meant here is glmer in the lme4 package, not glmm.
On Wed, Nov 17, 2010 at 1:11 PM, Andrew Dolman <andydolman at gmail.com> wrote:
lmer or glmm, the distinction (from a user point of view) is like lm vs glm. If you are using a Gaussian model then either will work. If you want to use a non-gaussian model then you will need to use glmm. andydolman at gmail.com On 17 November 2010 19:50, Michael Larkin <mlarkin at rsmas.miami.edu> wrote:
Awesome!? All three of you have been extremely helpful.? Thanks! I have a couple of follow-up questions. When I log transformed my catch data to make it normally (gaussian) distributed.? Therefore, I do have normally distributed random error terms. I will log transform the catch before I apply the model. I will do the declaring steps suggested by Petar where I declare the variables (Angler = factor, Season=factor, and tide phase = numeric). So by using (1 | Angler) in the model for my angler variable (i.e. Joe Smith, John Doe, ect) it makes this variable have a random intercept? My last question, from reading your emails I should pursue the glmm instead of the lmer function because of the random nature of my angler variable? Mike
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