dear R experts: fitdistr suggests that a t with a mean of 1, an sd of 2, and 2.6 degrees of freedom is a good fit for my data.
now I want to draw random samples from this distribution. should I draw from a uniform distribution and use the distribution function itself for the transform, or is there a better way to do this? there is a non-centrality parameter ncp in rt, but one parameter ncp cannot subsume two (m and s), of course. my first attempt was to draw rt(..., df=2.63)*s+m, but this was obviously not it. advice appreciated. /iaw ---- Ivo Welch (ivo.we...@gmail.com) http://www.ivo-welch.info/ ______________________________________________ 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.
