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Hi R, Getting a strange result using ?apply. Please look into the below codes: > d=data.frame(a=c(1,2,3),b=c("A","B","C"),c=c(TRUE,FALSE,FALSE),d=c(T,F,F )) > class(d[,1]) [1] "numeric" > class(d[,2]) [1] "factor" > class(d[,3]) [1] "logical" > class(d[,4]) [1] "logical" >

...Thanks for help. -- View this message in context: http://r.789695.n4.nabble.com/Some-questione-about-plot-tp3053430p3053430.ht ml Sent from the R help mailing list archive at Nabble.com. ------------------------------ Message: 59 Date: Mon, 22 Nov 2010 08:13:32 -0800 (PST) From: shubha <shuba.pandit at gmail.com> To: r-help at r-project.org Subject: [R] how do remove those predictor which have p value greater than 0.05 in GLM? Message-ID: <1290442412855-3053921.post at n4.nabble.com> Content-Type: text/plain; charset=UTF-8 Hi R user, I am a kind of an intermediate user of R....

Hi R user, I am a kind of an intermediate user of R. Now I am using GLM model (library MASS, VEGUS). I used a backward stepwise logistic regression, but i got a problem in removing those predictors which are above 0.05. I don't want to include those variables which were above 0.05 in final backward stepwise logetsic regression model. for example: first I run the model,