On Tue, Jan 31, 2012 at 10:03:39AM -0500, Val wrote: > Hi All, > > I want generate data using R that follows the shape of graphs (A and B) in > the attached file. Can anybody suggest me what function fits for each > graph?
Hi. The graphs leave open several questions. Are the distributions restricted to the shown intervals? How exactly should the densities be close to the presented curves? Is it important that the distribution of A is skewed? In other words, is it important that the flat part of the high densities of A is slightly increasing? Is B bimodal? Using mixtures of two gaussians, it is possible to achieve the following densities. x <- seq(0, 3, length=1001) y1 <- dnorm(x, mean=0.5, sd=1) y2 <- dnorm(x, mean=2.5, sd=1) plot(x, (y1+1.05*y2)/2.05, type="l") x <- seq(0, 3, length=1001) y1 <- dnorm(x, mean=0.5, sd=0.95) y2 <- dnorm(x, mean=2.5, sd=0.95) plot(x, (y1+y2)/2, type="l") Are these curves satisfactory? The generation then should be done differently, using rnorm(). Petr Savicky. ______________________________________________ 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.
