[R] mlogit (using multinom) problems

Hallo, i am trying to use the mlogit package (which uses the multinom package according to the documentation) the multinom function works fine: fsex = multinom(country ~ sex, data=included_s_sex_MF) # weights: 66 (42 variable) initial value 8222.172926 iter 10 value 7647.481298 iter 20

Re: [R] odds ratios in multiway tables (stratified)

On Wed, 2008-07-30 at 12:13 -0500, Marc Schwartz wrote: on 07/30/2008 08:48 AM Wim Bertels wrote: Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d

[R] odds ratios in multiway tables (stratified)

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it.

Re: [R] (baseline) logistic regression + gof functions?

Thanks for the quick reply David, so far this sums up to: # logistic on binary data lrm combined with resid(model,'gof') # logistic on raw binary data glm with gof using anova.glm (i think that anova.glm only makes sence on grouped binary data, not on the raw binary data..) (so what is the

[R] (baseline) logistic regression + gof functions?

 Hallo, which function can i use to do (baseline) logistic regression + goodness of fit tests? so far i found: # logistic on binary data lrm combined with resid(model,'gof') # logistic on binary

Re: [R] R reference Books

Hi Neil, as i am not an advanced user, i find reference cards very handy (google: reference card R) hth a bit, Wim Message: 70 Date: Wed, 28 May 2008 15:25:36 -0500 From: Neil Gupta [EMAIL PROTECTED] Subject: [R] R reference Books To: R-help@r-project.org Message-ID: [EMAIL PROTECTED]

[R] odds ratio's and function

Hallo, i tried writing a function to extract all the odds ratio's from a ftable: (+ p.adjust needs to build in) So i tried the following: ORCalcul - function(m) { or-matrix(1:(length(m[,1])-1)*(length(m[1,])-1)*5,length(m[,1])-1,length(m[1,])-1) for(i in 1:length(m[,1])-1) {

[R] NAs introduced by coercion

Hallo, i get a warning message that NAs are introduced by coercion, so my idea is to write a function to see which values are turned into NA For this i need to write a function to go through (loop) the original data and the transformed (with the introduced na) to see which data were transformed