Re: [R] loess smoothing question

From: Berton Gunter <gunter.berton_at_gene.com>
Date: Tue 20 Dec 2005 - 04:16:54 EST


If the y values are "hypergeometrically" distributed then they are counts, right? Loess is designed for continuous, reasonably symmetric data, and so is inappropriate. You should probably consider GLM for a parametric fit; or perhaps GAM for a nonparametric fit. As the data appear to have the structure of a time series, you may wish to search CRAN for a non-Gaussian time series package. I am unfamiliar with such methodology, so I have no idea what, if anything, is available for this.

Better suggestion. Get help from a local statistician, at least to get you started.

"The business of the statistician is to catalyze the scientific learning process." - George E. P. Box    

> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch
> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Thomas L Jones
> Sent: Monday, December 19, 2005 5:53 AM
> To: R-project help
> Subject: [R] loess smoothing question
>
> I am trying to smooth a dataset with evenly spaced values of x,
> perhaps using loess smoothing or something similar. However, the y
> values are hypergeometrically distributed; I think I want to use a
> logarithmic link function. It falls under the general heading of
> non-parametric regression. The problem is of interest in predicting
> the demand at a voting place, in order to avoid long lines.
>
> Questions: Should I use loess smoothing?
> Do I want a logarithmic link function? If so,
> How do I tell loess to use a logarithmic link function?
>
> Tom, a newbie to the R project, and not really a statistician
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Dec 20 14:14:24 2005

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