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.
