Re: [R] plotting density for truncated distribution

thank you, both solutions are really helpful! -- View this message in context: http://www.nabble.com/plotting-density-for-truncated-distribution-tp20684995p20703469.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org

Re: [R] plotting density for truncated distribution

Another option mydata <- rnorm(10) mydata <- mydata[mydata>0] plot(density(c(mydata, -mydata), from=0)) If you want the area under the curve to be one, you'll need to double the density estimate dx <- density(c(mydata, -mydata), from=0) dx$y <- dx$y * 2 plot(dx) Chris Jeroen Ooms wrote:

Re: [R] plotting density for truncated distribution

Default kernel density estimation is poorly suited for this sort of situation. A better alternative is logspline -- see the eponymous package -- you can specify lower limits for the distribution as an option. url:www.econ.uiuc.edu/~rogerRoger Koenker email[EMAIL PROTECTED

[R] plotting density for truncated distribution

I am using density() to plot a density curves. However, one of my variables is truncated at zero, but has most of its density around zero. I would like to know how to plot this with the density function. The problem is that if I do this the regular way density(), values near zero automatically ge