[R] explained deviance in multinom

Hi: I'm working with multinomial models with library nnet, and I'm trying to get the explained deviance (pseudo R^2) of my models. I am assuming that: pseudo R^2= 1 - dev(model) / dev (null) where dev(model) is the deviance for the fitted model and dev(null) is the deviance for the null

RE: [R] plot question

thks Dimitris, it helped a lot. alex -Mensagem original- De: Dimitris Rizopoulos [mailto:[EMAIL PROTECTED] Enviada: qui 19-05-2005 12:50 Para: alexbri Cc: r-help@stat.math.ethz.ch Assunto: Re: [R] plot question

[R] multinom function

Dear all: I am trying to fit a multinomial log linear model to the following data: worms- data.frame(year= rep(2000:2004, c(3,3,3,3,3)),age=rep(1:3,5), mud=c(2,5,0,8,7,7,5,9,14,12,8,7,5,13,11),sand=c(4,7,13,4,14,13,20,17,15,23,20,9,35,27,18),

[R] simple problem, but not for me

Hello, I'm new in R and I want to do one thing that is very easy in excel, however, I cant do it in R. Suppose we have the data frame: data- data.frame(A=c(a1,a2,a3,a4,a5)) I need to obtain another column in the same data frame (lets say B=c(b1,b2,b3,b4,b5) in the following way: