Dear list

 

I'm trying to model the relationship between prey capture success by fish
(binomial variable, 0/1)  and fish length (continuous), fish density (2,4
and 6 individuals) and water velocity (8, 12 and 26cm/2) using GLMM with
fish.id as a random effect. Capture success was collected during trials that
consisted in sending a prey every 2 min, which could be captured or not by
individual fish. A total of 20 prey was sent in each trial independently of
fish density, therefore the probability of capture is higher in 2 fish
trials than in 4 fish trials and any effect of density would be because of
the experimental design! Do you know of any way I could incorporate this
information in my models?

 

 

Model1<-glmer(capture~ length + density+ velocity +
(1|fish.id.),family=binomial,data=cap)

 

 

Thanks in advance

 

Best regards,

 

Joana Martelo

 

 

 


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