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