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 <luysgar...@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>______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.