Could that be extended to generate a population data set with known skew and kurtosis? If so, how?
Thanks in advance for suggested solutions. Harold Daniel Nordlund-2 wrote: > > > > Something like this may help get you started. > > std.pop <- function(x,mu,stdev){ > ((x-mean(x))/sd(x)*stdev)+mu > } > > population <- std.pop(rnorm(1000),10,5) > > Hope this is helpful, > > Dan > > Daniel Nordlund > Bothell, WA USA > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/How-to-generate-fake-population-%28ie.-not-sample%29-data--tp22322488p22340256.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.