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" <[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 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@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@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@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.
