Re: [R] loess function take

2012-04-13 Thread 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: mac...@northnet.com.au At 00:07 14/04/2012, you wrote: Since you have only one dependent varia

Re: [R] loess function take

2012-04-13 Thread 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. -- Ber

Re: [R] loess function take

2012-04-13 Thread Liaw, Andy
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-b

Re: [R] loess function take

2012-04-12 Thread Uwe Ligges
On 12.04.2012 05:49, arunkumar wrote: Hi The function loess takes very long time if the dataset is very huge I have around 100 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

[R] loess function take

2012-04-11 Thread arunkumar1111
Hi The function loess takes very long time if the dataset is very huge I have around 100 records and used only one independent variable. still it takes very long time Any suggestion to reduce the time - Thanks in Advance Arun -- View this message in context: http://r.789695.n4.