[R] question about chi values GLM

[peter dalgaard]

The column labeled "Deviance" pretty much _is_ the chi-square, specifically the likelihood ratio test statistic, which has an asymptotic chi-square distribution. (Using test="Rao" gives you the alternative Rao efficient score test, which in your case doesn't make much of a difference.) 

Notice though, that those displays are sequential and it is not clear that the one in the image you attach is made in the same way (or in a sensible way for that matter).  In particular, you have highly significant interaction terms, in which case the main effects tests are mostly irrelevant. You may need to consult a textbook on Poisson modelling or generalized linear modelling -- the discussion is a bit too long to be fitted into a mailing list.

-pd

On 14 Jun 2014, at 10:01 , Luis Fernando García <luysgarcia at gmail.com> wrote:

> Dear all,
> 
> I am making an analysis using a GLM using three explanatory variables and a
> response variable. I need to obtain a table similar to this one,
> http://postimg.org/image/5sau79wlt/r
> 
> nevertheless, I have not been able to do it. I am having a hard time
> specially getting the chi square values. I would like to know how to obatin
> them. I have used the function ANOVA, but it shows me the deviance but not
> the Chi-Square values, can be used these values?
> 
> I also would like to know what function could help me to make ad hoc
> comparisons for single variables and interactions.
> 
> If any of you knows how to do both estimations, I would really appreciate
> it.
> 
> All the best!!!
> 
> This is my script
> a=read.table("ricis3.txt",header=T)
> attach(a)
> model7=glm(Count~Sex+Time+Behaviour+Sex*Time+Sex*Behaviour+Time+Behaviour*Sex,family=poisson)
> summary(model7)
> anova(model7,test="Chi")
> <ricis3.txt>______________________________________________
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-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com