t; > > 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/
> > >
On Thu, 2008-01-03 at 10:10 -0600, [EMAIL PROTECTED] wrote:
> >From: Max <[EMAIL PROTECTED]>
> >Date: 2008/01/03 Thu AM 09:31:40 CST
> >To: [EMAIL PROTECTED]
> >Subject: Re: [R] Multivariate response methods question
>
> Hi Max: multinom allows ( and probabl
16/337015
> > Web: http://med.kuleuven.be/biostat/
> > http://www.student.kuleuven.be/~m0390867/dimitris.htm
> >
> >
> > - Original Message -
> > From: "Max" <[EMAIL PROTECTED]>
> > To: <[EMAIL PROTECTED]>
> > Sent:
0)16/337015
> > Web: http://med.kuleuven.be/biostat/
> > http://www.student.kuleuven.be/~m0390867/dimitris.htm
> >
> >
> > - Original Message -
> > From: "Max" <[EMAIL PROTECTED]>
> > To: <[EMAIL PROTECTED]>
> > Sent
>From: Max <[EMAIL PROTECTED]>
>Date: 2008/01/03 Thu AM 09:31:40 CST
>To: [EMAIL PROTECTED]
>Subject: Re: [R] Multivariate response methods question
Hi Max: multinom allows ( and probably polr also ) allows a categorical
response that can take on any number of values so I
/med.kuleuven.be/biostat/
> http://www.student.kuleuven.be/~m0390867/dimitris.htm
>
>
> - Original Message -
> From: "Max" <[EMAIL PROTECTED]>
> To: <[EMAIL PROTECTED]>
> Sent: Wednesday, January 02, 2008 9:36 PM
> Subject: [R] Multivariate
lt;[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
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
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
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