[R-sig-ME] declaring the variables

[Douglas Bates]

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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