Where do I nominate this to be a fortune ?

Q (Karl Ove Hufthammer ): Why not use 'predict.loess' (i.e., 'predict' on a
loess object) directly?
A (Greg Snow): Because that would be simple, straight forward, and make
sense, and not require knowledge about less obvious functions.


Although for the protocol,
Your correspondence did just help me - thank you :)

Tal




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On Tue, Nov 24, 2009 at 7:35 PM, Greg Snow <Greg.Snow@imail.org> wrote:

>
> > -----Original Message-----
> > From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Karl Ove Hufthammer
> > Sent: Tuesday, November 24, 2009 1:11 AM
> > To: r-help@stat.math.ethz.ch
> > Subject: Re: [R] Loess Fit
> >
> > On Mon, 23 Nov 2009 14:03:11 -0700 Greg Snow <Greg.Snow@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.snow@imail.org
> 801.408.8111
>
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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