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...onfidencebound <- quantile(kerneld$z, probs= 0.95) plot(x, y, pch=19, cex=0.5) contour(kerneld, levels = confidencebound, col="red", add = TRUE) -- How can I calculate the right contour containing 95% of the values? Thank's for your help. Pascal R 2.7.0, Win XP -- Pascal H?nggi Universit?t Bern Geographisches Institut, Gruppe f?r Hydrologie Hallerstrasse 12 CH-3012 Bern +41 (0)31 631 54 71 pascal.haenggi at hydrologie.unibe.ch http://www.hydrologie.unibe.ch --

Dear all, I created a bivariate normal distribution: set.seed(138813) n<-100 x<-rnorm(n); y<-rnorm(n) and plotted a scatterplot of it: plot(x,y) Now I'd like to add the 2D-standard deviation. I found a thread regarding plotting arbitrary confidence boundaries from Pascal H?nggi http://www.mail-archive.com/r-help at r-project.org/msg24013.html which cites the even older thread http://tolstoy.newcastle.edu.au/R/help/03b/5384.html As I am unfortunately only a very poor R programmer, the code of Pascal H?nggi is a myth to me and I am not sure whether I was able to translate...