Hi Greg, Thank you very much for your help. The logspline package seems to solve the problem. Best regards, Justine
-------- Original-Nachricht -------- > Datum: Thu, 5 Nov 2009 11:11:31 -0700 > Von: Greg Snow <greg.s...@imail.org> > An: Justine Rochon <roc...@gmx.de>, "r-help@r-project.org" > <r-help@r-project.org> > Betreff: RE: [R] Density estimate with bounds > You may be interested in the logspline package. It uses a different > method from kernel density estimation, but it estimates densities from data > and > allows the specification of lower and/or upper bounds. > > Hope this helps, > > -- > 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 Justine Rochon > > Sent: Thursday, November 05, 2009 2:38 AM > > To: r-help@r-project.org > > Subject: [R] Density estimate with bounds > > > > Dear R users, > > > > I would like to show the estimated density of a (0, 1) uniformly > > distributed random variable. The density curve, however, goes beyond 0 > > and 1 because of the kernel smoothing. > > > > Example: > > > > x = runif(10000) > > plot(density(x)) > > > > Is there a way to estimate the density curve strictly within (0, 1) and > > still use some sort of smoothing? > > > > Any help would be greatly appreciated. > > > > Best regards, > > > > Justine Rochon > > > > -- > > GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT! > > > > ______________________________________________ > > 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. -- Jetzt kostenlos herunterladen: Internet Explorer 8 und Mozilla Firefox 3.5 - sicherer, schneller und einfacher! http://portal.gmx.net/de/go/atbrowser ______________________________________________ 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.