Dear Andras, A possible option might be checking the fit of your data to a specific distribution and generating the data from the distribution to which your data fit, with the parameters such as the MLE of them obtained by using the avaiable data.
For instance, you can check whether your data is a random sample from multivariate normal distribution by using the R function mshapiro.test (under mvnormtest) and estimate MLE of the parameters by using the function mlest (under mvnmle). Best Ozgur -- View this message in context: http://r.789695.n4.nabble.com/Re-creating-distributions-tp4632739p4632833.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.
