Another option for fitting a smooth distribution to data (and generating future observations from the smooth distribution) is to use the logspline package.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of xin wei > Sent: Monday, July 26, 2010 12:36 PM > To: r-help@r-project.org > Subject: [R] how to generate a random data from a empirical > distribition > > > 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?). 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. > > > -- > View this message in context: http://r.789695.n4.nabble.com/how-to- > generate-a-random-data-from-a-empirical-distribition- > tp2302716p2302716.html > Sent from the R help mailing list archive at Nabble.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. ______________________________________________ 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.
