menstav@hotmail.com
2001-Sep-08 00:03 UTC
[Rd] anova in model simplification in glm (PR#1087)
Full_Name: Menelaos Stavrinides Version: 1.3. 1 OS: Windows 98 Submission from: (NULL) (193.129.76.90) When model simplification is used in glm (binomial errors) and anova is used two compare two competitive models one can use either an "F" or a "Chi" test. R always performs an F test (Although when test="Chi" the test is labeled as Chi, there isn't any difference between F and Chi test) Let us assume model1 and model2, where model2 a simplified version of model1 model1_glm(y~factor1*factor2,binomial) model2_update(model1,~.-factor2) anova(model1,model2,test="F")# will give the same result as anova(model1,model2,test="Chi") -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-devel-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._