Run the examples for the "loess.demo" function in the TeachingDemos package to get a better understanding of what goes into the loess predictions.
On Tue, Apr 3, 2012 at 2:12 PM, Recher She <rrrecher....@gmail.com> wrote: > Dear R community, > > I am trying to understand how the predict function, specifically, the > predict.loess function works. > > I understand that the loess function calculates regression parameters at > each data point in 'data'. > > lo <- loess ( y~x, data) > > p <- predict (lo, newdata) > > I understand that the predict function predicts values for 'newdata' > according to the loess regression parameters. How does predict.loess do > this in the case that 'newdata' is different from the original data x? How > does the interpolation take place? > > Thank you. > > [[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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ 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.
