Hi, Bert, Thanks for the response. But then in this case, can I use loess to fit the data? If yes, then how to interpret the results?
Cindy On Mon, Jul 27, 2009 at 4:32 PM, Bert Gunter <gunter.ber...@gene.com> wrote: > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On > Behalf Of cindy Guo > Sent: Monday, July 27, 2009 4:06 PM > To: r-help@r-project.org > Subject: [R] local regression using loess > > Hi, All, > > I have a dataset with binary response ( 0 and 1) and some numerical > covariates. I know I can use logistic regression to fit the data. But I > want > to consider more locally. So I am wondering how can I fit the data with > 'loess' function in R? And what will be the response: 0/1 or the > probability > in either group like in logistic regression? > > -- Neither. Loess is an algorithm that smoothly "interpolates" the data. It > makes no claim of modeling the probability for a binary response variable. > > -- Bert Gunter > Genentech Nonclinical Statistics > > Thank you, > Cindy > > [[alternative HTML version deleted]] > > ______________________________________________ > 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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] ______________________________________________ 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.
