On Sun, 23 Mar 2003, Davorka Gulisija wrote: > I am using Loess.smooth (Modreg) in order to infer certain relationship
I presume you mean loess.smooth in package modreg? (People do sometimes modify functions and (un-)capitalize the names.) > for the data set of ~130,000 observations with ~300 distinct values of > single predictor. I understand that fitted values (y-hat) are just 300 > Weighted LS fits in certain neighborhood of predictors. That is not what ?loess.smooth says it does, and it does what its help says not what you claim -- you seem to be confusing loess.smooth with loess. > I am bit confused about > how exactly is this neighborhood assigned . Say I choose spanning > parameter = .5, for each LS analysis 75000 observations should be used. > However, intuitively it doesn't seem right since points are not equally > distributed among predictors and there are many observations for a single > value of predictor. > > I would appreciate if someone could clear this for me. The help pages and their references will help you clear up your confusion: the source code is the ultimate authority. -- Brian D. Ripley, [EMAIL PROTECTED] 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
