[R] loess function take

[Duncan Mackay]

As lowess() is mentioned another in similar vein is locfit() from 
package locfit

Duncan


Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email home: mackay at northnet.com.au

At 00:07 14/04/2012, you wrote:
>Since you have only one dependent variable, try using lowess()
>instead. It is less flexible -- only does local linear robust fitting
>-- but has arguments built in that allow you to sample and interpolate
>and limit the number of robustness iterations. It runs considerably
>faster as a result.
>
>-- Bert
>
>On Fri, Apr 13, 2012 at 6:32 AM, Liaw, Andy <andy_liaw at merck.com> wrote:
> > Alternatively, use only a subset to run loess(), either a random 
> sample or something like every other k-th (sorted) data value, or 
> the quantiles.  It's hard for me to imagine that that many data 
> points are going to improve your model much at all (unless you use tiny span).
> >
> > Andy
> >
> >
> > From: r-help-bounces at r-project.org 
> [mailto:r-help-bounces at r-project.org] On Behalf Of Uwe Ligges
> >
> > On 12.04.2012 05:49, arunkumar1111 wrote:
> >> Hi
> >>
> >> The function loess takes very long time if the dataset is very huge
> >> I have around 1000000 records
> >> and used only one independent variable. still it takes very long time
> >>
> >> Any suggestion to reduce the time
> >
> >
> > Use another method that is computationally less expensive for that many
> > observations.
> >
> > Uwe Ligges
> >
> >
> >> -----
> >> Thanks in Advance
> >>          Arun
> >> --
> >> View this message in context: 
> http://r.789695.n4.nabble.com/loess-function-take-tp4550896p4550896.html
> >> Sent from the R help mailing list archive at Nabble.com.
> >>
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>
>--
>
>Bert Gunter
>Genentech Nonclinical Biostatistics
>
>Internal Contact Info:
>Phone: 467-7374
>Website:
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>
>______________________________________________
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