[R] kernel smoothing for ordinal data

[Prof Brian Ripley]

They do exist: the term has a somewhat different meaning for categorical 
data.

Titerington, D. M. (1980) Technometrics 22, 259-268

might be a good start.

On 17 Jun 2003, Peter Dalgaard BSA wrote:

> Meike Gebel <meike.gebel at gmx.de> writes:
> 
> > Hi there,
> > during my work I have to use kernel smoothing methods for multivariate
> > ordinal data.
> > The R-package "KernSmooth" unfortunately includes only a version for
> > continous scaled variables.
> > Does anybody know whether there exists also a version for ordinal data?
> > Thanks for help!
> 
> Er, do you have a reference for what such a beast should be doing?
> Kernel smoothing methods generally rely quite heavily on having a
> continuous distribution (for density estimates) or having a continuous
> x distribution and something on the y axis that allows taking weighted
> avereages (for nonparametric regression type problems).
> 
> 

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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