Please learn to search! A google search on "R density estimation" brought up the akj() function in the quantreg package, which would seem to do what you requested. However, I didn't look very hard and there are probably still others in other packages.
-- Bert On Wed, Feb 13, 2013 at 8:35 AM, Robert Duval <rdu...@gmail.com> wrote: > Dear All, > > I was wondering whether someone has created a kernel density evaluator that > estimates the density at given specified points. > > The regular density() function evaluates the kernel at equidistant points, > but I am interested in doing such evaluation along a list of values > existing in a pre-specified vector. (Similar to the option at() in the > kdensity command in Stata). > > This question has appeared before in the R-list, most recently in 2011 in : > > http://tolstoy.newcastle.edu.au/R/e14/help/11/06/5232.html > > There another list member suggested programming a home-made evaluator. > While the posted solution works, it is not as general, nor as fast as > density(). So I was wondering whether someone had recently came up with a > more efficient way of doing this. > > N.B. Many users have suggested using some sort of interpolation over the > values provided by density(). However, for the problem I have at hand this > is not what I need. > > Any help will be appreciated. > Robert > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
