David Winsemius wrote: > On Jul 26, 2010, at 2:36 PM, xin wei wrote: > >> hi, this is more a statistical question than a R question. but I do >> want to >> know how to implement this in R. >> I have 10,000 data points. Is there any way to generate a empirical >> probablity distribution from it (the problem is that I do not know >> what >> exactly this distribution follows, normal, beta?). > > ?ecdf
I'd say ?sample, for sampling w/o replacement. The inverse ecdf method is not likely to be efficient, unless you want a smoothed version of the distribution function and ecdf() doesn't help you there. > >> My ultimate goal is to >> generate addition 20,000 data point from this empirical distribution >> created >> from the existing 10,000 data points. >> thank you all in advance. >> -- Peter Dalgaard Center for Statistics, Copenhagen Business School Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ 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.
