Iím working through Poisson regression and am looking at the plots of the model that [R] gives. Crawley gives little guidance about the way the plots should look for Poisson regression. When itís linear regression I understand the plots. I donít think I can interpret the plots in the same manner (different assumptions).
1) Of the 4 plots [R] gives which ones are actually important to look at?
2) What do these plots mean (see code below)?
Thanks in advance.Code:
dat<-read.table("http://www.ats.ucla.edu/stat/R/dae/poisson_sim.csv", sep=",", header = TRUE) summary(dat) dat$pcat <-factor(dat$prog, labels=c("General", "Academic", "Vocational")) attach(dat) b.<-relevel(pcat, "General") m1<-glm(num_awards ~ b. + math, family="poisson", dat) summary(m1) par(mfrow=c(2,2));plot(m1);par(mfrow=c(1,1))
"If you torture the data long enough it will eventually confess."
-Ronald Harry Coase -
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