Good evening, I'm trying to mount the proportional odds model (ordinal
polytomous regression model) and most of my independent variables are
qualitative (and are transformed into dummy). I have an inconvenience that I
would like to help me resolve, below I present part of the code I'm
developing for fitting the model (The variables included here are only for
trial, because I have many more independent variables):
1) Muestra.comp.multi<-svydesign(id=~b.multi,strata
=~d.multi,nest=TRUE,weights=~c.multi,data=acm18.multi,fpc=~e.multi,
mealcat=cut(meals,c(0,25,50,75,100)))
(This is the first complex sample)
*
Muestra.comp.multi<-update(Muestra.comp.multi,APES=APES,EDAD_1=Edad_1,EDAD_2=Edad_2)
# Corresponds to a transformation that you suggested me
2)
mod.polti.ultico<-svyolr(APES~EDAD_1,EDAD_2,design=Muestra.comp.multi,method=c("logistic"))
And this is the error that comes out (I could help resolve this error, please):
Error en svyolr.survey.design2(APES ~ EDAD_1, EDAD_2, design =
Muestra.comp.multi, : response must be a factor
Thank you very much for your help.
[[alternative HTML version deleted]]
______________________________________________
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.
