> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Karl Ove Hufthammer > Sent: Tuesday, November 24, 2009 1:11 AM > To: r-h...@stat.math.ethz.ch > Subject: Re: [R] Loess Fit > > On Mon, 23 Nov 2009 14:03:11 -0700 Greg Snow <greg.s...@imail.org> > wrote: > > If you need a function to reproducibly generate predictions, then > > use loess to generate a set of predictions for a reasonably dense set > > of x-values, then use approxfun or splinefun to create a function to > > interpolate for you. Then this function can give the predictions for > > various x values. > > Why not use 'predict.loess' (i.e., 'predict' on a loess object) > directly? > > -- > Karl Ove Hufthammer >
Because that would be simple, straight forward, and make sense, and not require knowledge about less obvious functions. Actually approxfun and splinefun return functions, predict.loess does not. But since the original poster has multiple x variables, approxfun and splinefun will not work, in another branch I have already suggested that he create his own function using predict.loess. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 ______________________________________________ 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.
