[R] A Question on lowess() function

[Liaw, Andy]

On the "See Also" section of the help page to loess(), there's a link to
"predict.loess".  On that help page, under "Arguments":

newdata   an optional data frame specifying points at 
          which to do the predictions. If missing, the 
          original data points are used. 

There, I've read the documentation for you.

Andy

> -----Original Message-----
> From: Minghua Yao [mailto:myao at ou.edu]
> Sent: Thursday, April 10, 2003 6:03 PM
> To: Prof Brian Ripley
> Cc: r-help at stat.math.ethz.ch
> Subject: RE: [R] A Question on lowess() function
> 
> 
> I still haven't found out from the mail archieves
> 
> How to get the LOWESS or LOESS fitting values for any elements in x?
> 
> Help please. Thanks.
> 
> -MY
> 
> -----Original Message-----
> From: Prof Brian Ripley [mailto:ripley at stats.ox.ac.uk]
> Sent: Thursday, April 10, 2003 3:21 PM
> To: Minghua Yao
> Cc: r-help at stat.math.ethz.ch
> Subject: RE: [R] A Question on lowess() function
> 
> 
> On Thu, 10 Apr 2003, Minghua Yao wrote:
> 
> > Thank you for your reply.
> >
> > I didn't find what I needed from the archieves. Maybe, I 
> need to figure
> out
> > how to search the archieves effectively.
> >
> > I used y<-x[!is.na(x)] to get rid of NA and NaN. But I 
> don't know how to
> get
> > rid of Inf.
> 
> That's not what you asked for, and is.finite() will do that 
> (if you apply
> it to x as well).
> 
> > Also, is there more detailed info about loess() than help(loess)?
> 
> Look at the na.action parameter ..., as well as the references.
> 
> > Thanks.
> >
> > -MY
> >
> > -----Original Message-----
> > From: Prof Brian Ripley [mailto:ripley at stats.ox.ac.uk]
> > Sent: Thursday, April 10, 2003 1:38 PM
> > To: Minghua Yao
> > Cc: r-help at stat.math.ethz.ch
> > Subject: Re: [R] A Question on lowess() function
> >
> >
> > lowess was old-fashioned a decade ago: use loess.
> >
> > And this Q was answered about a week ago, so use the archives.
> >
> > On Thu, 10 Apr 2003, Minghua Yao wrote:
> >
> > > I want to use lowess(x, y) where x and y are vectors of 
> length of 4000+.
> > In
> > > fact, x and y are log of some vectors. So, some of the 
> elements are NaN.
> > > lowess() can not take away those elements then do the 
> fitting. It will
> > give
> > > the error message and do nothing.
> > >
> > > 1. Can anybody tell me how to get rid of those NaN's and 
> use lowess()?
> > > 2. How to get the LOWESS fitting values for any elements in x?
> 
> 
> 
> --
> Brian D. Ripley,                  ripley at stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
> 
> ______________________________________________
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> 


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