Message-ID: <3A822319EB35174CA3714066D590DCD5C4F98D@usrymx25.merck.com>
Date: 2003-04-10T20:18:20Z
From: Liaw, Andy
Subject: A Question on lowess() function
"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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