[R] Analysis of ordinal categorical data

[thsudler@swissonline.ch]

Thanks a lot for your advice. What do you mean with "the proportional-odds assumption may not hold"? Does this solution with "polr" always works? Or what's important to take into account?

Regards
Thomas

>Dear Thomas,
>
>One approach to an ordinal response variable is the proportional-odds model,
>implemented in the MASS package as polr(). The proportional-odds >assumption
>may not hold, however.
>
>I hope this helps,
> John 
>
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of 
> thsudler at swissonline.ch
> Sent: Wednesday, May 05, 2004 7:45 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Analysis of ordinal categorical data
> 
> Hi
> 
> I would like to analyse an ordinal categorical variable. I 
> know how I can analyse a nominal categorical variable (with 
> multinom or if there are only two levels with glm).
> 
> Does somebody know which command I need in R to analyse an 
> ordinal categorical variable?
> 
> I want to describe the variable y with the variables x1,x2,x3 
> and x4. So my model looks like: y ~ x1+x2+x3+x4.
> 
> y: ordinal factor variable with levels (never, rare, bychance, often).
> 
> Thanks a lot in advance
> Thomas
> 
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