search for: xdens

...ple(layout) code. ##Start windows() x <- pmin(3, pmax(-3, rbeta(5000,1,5))) y <- pmin(3, pmax(-3, c(rnorm(2500, .25, 1), rnorm(2500))) ) trtp.f <- factor(rep(c("Placebo", "Not Placebo"), each=2500), levels=c("Placebo", "Not Placebo")) xdens <- tapply(x, trtp.f, density, na.rm=TRUE) ydens <- tapply(y, trtp.f, density, na.rm=TRUE) topx <- max(unlist(lapply(xdens, function(x) max(x$y)))) topy <- max(unlist(lapply(ydens, function(x) max(x$y)))) xrange <- range(x, na.rm=TRUE) yrange <- range(y, na.rm=TRUE)...

Hi, I have a set of data in x,y coordinates across the range of -5 to 5 in each dimension. I would like to obtain the frequency distribution of the different points, and then graph them so you can see which of the points are the most frequently occurring. This would seem to be easy in Matlab, which has the hist3 command for doing frequency distributions/histograms in 3 dimensions. However,