But it is *within* a trellis plot when I cannot plot the bands! Building up on Dieter's example:
x <- rnorm(100) y <- dnorm(x) + rnorm(100) / 5 plot(locfit(y~x), band="global") Plots two nice confidence bands. But try this z <- dnorm(y) + rnorm(100) / 3 Z <- equal.count(z, number = 4, overlap = .1) xyplot(z ~ y|Z, alpha = 1,band = "global",panel = panel.locfit) and you will not see the bands, indeed band is completely ignored as xyplot(z ~ y|Z, alpha = 1,band = "rubbish",panel = panel.locfit) works fine but without the bands!! - juan On Thu, 2006-10-19 at 07:49 +0000, Dieter Menne wrote: > Deepayan Sarkar <deepayan.sarkar <at> gmail.com> writes: > > > > > On 10/18/06, juan f poyatos <jpoyatos <at> cnio.es> wrote: > > > Dear all, > > > I am trying to include confidence intervals in a xyplot. > > > > ... > > > Well, panel.locfit doesn't have any options to draw confidence bands, > > so you'll have to write a panel function that does. Shouldn't be hard > > to extend panel.locfit if you know how to extract that information > > from a locfit object. > > plot.locfit has bands. I think Juan mixed trellis and standard plot > documentation. > > > x <- rnorm(100) > y <- dnorm(x) + rnorm(100) / 5 > plot(locfit(y~x), band="global") > > ______________________________________________ > [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 > and provide commented, minimal, self-contained, reproducible code. -- Juan F. Poyatos Structural and Computational Biology Programme Spanish National Cancer Centre (CNIO) Melchor Fernandez Almagro, 3/E-28029 Madrid SPAIN Phone:+34 912 246 900/Fax: +34 912 246 980 http://bioinfo.cnio.es/~jpoyatos/ **NOTA DE CONFIDENCIALIDAD** Este correo electrónico, y en s...{{dropped}}
______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
