[R] A Question on lowess() function

[Liaw, Andy]

"Statistical Models in S" edited by Chamber & Hastie (the "white book") has
a chapter on loess.  "Modern Applied statistics in S" by Venables & Ripley
has some coverage as well.  On top of that, you have the source code--- you
can get as detailed as you wish with that!

Andy



> -----Original Message-----
> From: Minghua Yao [mailto:myao at ou.edu]
> Sent: Thursday, April 10, 2003 3:58 PM
> To: Prof Brian Ripley
> Cc: r-help at stat.math.ethz.ch
> Subject: RE: [R] A Question on lowess() function
> 
> 
> 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.
> 
> Also, is there more detailed info about loess() than help(loess)?
> 
> 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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