[R] loess smoothing question
gunter.berton at gene.com
Mon Dec 19 18:16:54 CET 2005
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
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
"The business of the statistician is to catalyze the scientific learning
process." - George E. P. Box
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at 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
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
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