[R] How do I compare 47 GLM models with 1 to 5 interactions and unique combinations?

[Jhope]

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

--
View this message in context: http://r.789695.n4.nabble.com/How-do-I-compare-47-GLM-models-with-1-to-5-interactions-and-unique-combinations-tp4326407p4329798.html
Sent from the R help mailing list archive at Nabble.com.