On Tue, 2004-08-24 at 15:23, Liaw, Andy wrote: > Just take range() of the fitted loess values. > Or if you really want to investigate the *line* instead of some random *points*, you may need something like:
> optimize(function(x, mod) predict(mod, data.frame(speed=x)), c(0,20), maximum=TRUE, mod=cars.lo) $maximum [1] 19.99995 $objective [1] 56.44498 This elaborates the ?loess example with the result object cars.lo (and, of course is a bad example since the fit is monotone and solutions is forced to the margin). Use maximum=FALSE for *a* minimum. If you have several predictors, you either need to supply constant values for those in optimize, or for simultaneous search in all use optim or nlm. cheers, jari oksanen > > > From: Fredrik Karlsson > > > > Dear list, > > > > I've produced a loess line that I would like to investigate > > in terms of > > local/global maxima and minima. How would you do this? > > > > Thank you in advance. > > > > /Fredrik Karlsson > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Jari Oksanen <[EMAIL PROTECTED]> ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
