Bert, Ryan, Alain, You suggestions are very helpful. Thank you. I learned a lot from the discussion.
Cindy On Tue, Jul 28, 2009 at 8:53 AM, Ryan <rha...@purdue.edu> wrote: > Bert Gunter <gunter.berton <at> gene.com> writes: > > > > > > > Actually, loess is much more than an "interpolant". I wouldn't > > even call it that. It is a local regression technique that comes > > with all the equipment you get in classical regression. But it > > is meant for normal-like errors, which is not what you have. > > > > > Bert - when I hear "interpolate", I think of connecting the > data points, like using something like divided differences > or hermite interpolation, so I thought that's what you > meant. Sorry for the misunderstanding. > > True that loess was designed to be robust, but when I > said it is meant for normal-like errors, I was referring > to loess with statistical procedures analagous to the > classical regression setting, such as confidence intervals, > anova, etc. (see "Locally Weighted Regression: An > Approach to Regression Analysis by Local Fitting", 1988). > > ______________________________________________ > 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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ 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.
