
Hello everyone,

I am confused about how the dependent variable should be specified, e.g.
say S and F denote series of successes and failures. Is it

share<-S/(S+F)
glm(share~x,family=quasibinomial)

or

glm(cbind(S,F)~x,family=quasibinomial)

The two variants produce very different dispersion parameter and deviances.
The book by Crawley, the only one R-book a have, says the second variant is
correct for proportions data.

Serguei

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