[R] Multivariate response methods question

[Bálint Czúcz]

One more suggestion: mvpart
https://stat.ethz.ch/pipermail/r-packages/2004/000016.html

Bálint


On Jan 3, 2008 4:31 PM, Max <mnevill at exitcheck.net> wrote:
> Dimitris,
>
> Thankyou for pointing me at those functions. It seems like they're
> limited to only one response variable, unless there's a way of
> inserting multiple responses that I'm unaware of (which could easily be
> true) into the formulas.
>
> Thanks,
>
> -Max
>
>
>
> After serious thinking Dimitris Rizopoulos wrote :
>
> > you can have a look at the following functions:
> >
> > help("polr", package = "MASS")
> > help("lrm", package = "Design")
> > help("multinom", package = "nnet")
> >
> >
> > I hope it helps.
> >
> > Best,
> > Dimitris
> >
> > ----
> > Dimitris Rizopoulos
> > Ph.D. Student
> > Biostatistical Centre
> > School of Public Health
> > Catholic University of Leuven
> >
> > Address: Kapucijnenvoer 35, Leuven, Belgium
> > Tel: +32/(0)16/336899
> > Fax: +32/(0)16/337015
> > Web: http://med.kuleuven.be/biostat/
> >      http://www.student.kuleuven.be/~m0390867/dimitris.htm
> >
> >
> > ----- Original Message -----
> > From: "Max" <mnevill at exitcheck.net>
> > To: <r-help at stat.math.ethz.ch>
> > Sent: Wednesday, January 02, 2008 9:36 PM
> > Subject: [R] Multivariate response methods question
> >
> >
> >> Hi Everyone,
> >>
> >> I have some data that predicts both a nominal and ordinal response
> >> variable.  I was wondering what packages in R would help me analyze
> >> the
> >> data?
> >>
> >> I was also curious if anyone could recomend me some textbooks that
> >> would help with the analysis of such data? I have the 5th edition of
> >> "Applied Multivariate Statistical Analysis" by Richard A. Johnson
> >> and
> >> Dean W. Wichern already, but that doesn't seem to cover the material
> >> I'm looking for.
> >>
> >> Thanks,
> >>
> >> -Max
> >>
> >> ______________________________________________
> >> R-help at 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.
> >>
> >
> >
> > Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
> >
> > ______________________________________________
> > R-help at 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.
>
> ______________________________________________
> R-help at 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.
>