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fastmodel
2008 Mar 02
1
Poisson regression in R
...study, the model in (2) "is simpler than (1), fits well (deviance =
53.11, d.f. = 60, p-value = 0.72) and gives coefficients (standard errors):
AGE, ? 0.177 (0.018); CAR, 0.198 (0.021); DIST, 0.210 (0.059)."
As of the first model, I think that I should use this code, but not sure:
> firstmodel<-glm(y~factor(age)*factor(car)*factor(dist),family=poisson)
As of the second model, I used this code, but it produces results that
contradict what the previous study says (and deleting intercept does not
help):
> secondmodel<-glm(y~age+car+factor(dist),family=poisson)
> summary(second...