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lmfit
2012 Mar 29
2
How to improve, at all, a simple GLM code
Hi There,
I am trying to fit a logit model to some data in a CSV file in R.
Here is my code:
Prepared_Data = read.csv("Prepared_Data.csv", header=TRUE)
Prepared_Data
attach(Prepared_Data)
lrfit<-glm(C3~A1*B2*D4*E5,family = binomial)
anova(lrfit, test="Chisq")
write.csv(anova(lrfit, test="Chisq"), file="CWModelA.csv")
shell.exec("CWModelA.csv")
I am unsure as to how many methods there are of choosing a suitable model, however, I was hoping to fit...