You may find it easier to use the logspline density fits (logspline package) rather than the kernel density estimators for this.
On Mon, Oct 1, 2012 at 7:46 AM, Eugene Kanshin <kanshin...@gmail.com> wrote: > Hello, > I have a data x with normal (or very close to normal) distribution, I can > plot a density distribution with density(x,...). My question is is there > any way to calculate an area under this distribution (=probability) for > particular range of x values, let's say for x from 0 to 2? I was not able > to find any kind of simple procedure to do this. > Thanks in advance for your help, > Evgeny. > > [[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.
