Thank you everyone for your dedication to improving 'R' - its function to
statistical analysis and comments.
I have now 48 models (unique combinations of 1 to 6 variables) and have put
them into a list and gained the results for all models. Below is a sample of
my script & results:
m$model48 <- Model48.glm
> sapply(m, extractAIC)
model47 model48
[1,] 8.000 46.000
[2,] 6789.863 3549.543
Q
1) How do you interpret these results? What is 1 and 2?
2) I have been suggested to try a quasibinomial, once responses are fixed.
Is this necessary? If so is there a way I can do this by considering all
these models ?
3) Then gaussian?
Much appreciated!
Saludos, J
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