On 2010-11-30 15:52, David Hervas Marin wrote:
Hello, I'm taking samples from certain distributions and drawing a density distribution over the histogram of the samples It works fine for the chi-square and for the normal, but not for the cauchy. Any idea what I'm doing wrong? Thanks
Not doing anything wrong, really. But do check range(x) Should be quite a range; that's what 'heavy tails' means. To see the fit, try this: hist(x, freq=FALSE, breaks=5000, xlim=c(-6,6)) curve(dcauchy(x), col = 2, add = TRUE) Peter Ehlers
x<- rchisq(10000, df = 4) hist(x, freq = FALSE, breaks=100) curve(dchisq(x, df = 4), col = 2, add = TRUE) x<- rnorm(10000) hist(x, freq = FALSE, breaks=100) curve(dnorm(x), col = 2, add = TRUE) x<- rcauchy(10000) hist(x, freq = FALSE, breaks=100) curve(dcauchy(x), col = 2, add = TRUE) [[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.
______________________________________________ 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.