[R] loess function take

[Bert Gunter]

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.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> Notice:  This e-mail message, together with any attachme...{{dropped:11}}
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm