declaring the variables
Hi Michael, You will need to use a different function than glm(). Something from an additional R package such as nlme or lme4. There's some information here: http://glmm.wikidot.com/ With glmm() from lme4 your model specification would look something like this: fish <- glmm(Catch ~ Season + Tide + (1|Angler), family=gaussian(identity), data=fishcatch) Assuming Catch is appropriately modelled as gaussian that is. andydolman at gmail.com
On 17 November 2010 05:57, Michael Larkin <mlarkin at rsmas.miami.edu> wrote:
I am running a GLM with catch data from a fishery. ?I understand how to run a GLM in R. ?What I don't understand is how to declare the types of variables that I have. ?For example, I am modeling catch with several different types of variables. ?Here are details on my variables: Variable ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Type comment Anglers ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? random factor ? ? ? ? ? ? ? ? ? I have the names of over 100 anglers. Season ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? fixed factors ? ? ? ? ? ? ? ? ? ? ? I broke it up into the 4 seasons Tide phase ? ? ? ? ? ? ? ? ? ? ? ? ?Continuous variable ? ? ? ?I have the proportion of the tide phase during the fishing event My R code for the GLM is: fish <- glm(Catch ~ Angler +Season + Tide, family=gaussian(identity), data=fishcatch) However, how do declare the types of variables used in the model? ?For example, how do I declare that the angler variable is a random factor? Any help would be greatly appreciated. Mike ? ? ? ?[[alternative HTML version deleted]]
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