The loess function in R uses the tricube weights that are described in my copy of Cleveland, so that may do what you want. If you really want to do the same general idea but with a different weight function, then it is not that hard to write your own function to do the estimating (but I doubt that you will see much improvement over the standard loess function).
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Marcin Kozak > Sent: Thursday, January 22, 2009 10:08 AM > To: r-help@r-project.org > Subject: [R] Loess fitting with bisquare > > Hi, > > It seems there is no straightforward way to carry out in R the loess > fitting with bisquare, as given by William Cleveland in his > "Visualizing Data". Am I right? > > Thanks in advance, > Marcin > > -- > "Build up your weaknesses until they become your strong points" -- > Knute Rockne > > ______________________________________________ > R-help@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@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.
