Hi, the Student's t distribution could be considered: it's symmetrical, but with a low number of degree of freedom is different from Normal distribution I think in the way you said:"has a much higher peak at the mean and the distribution has much longer tails. " Try to use:
rt(n, df) where n=number of obs. df=degree of freedom. for samples simulations. Best Vito I would be very grateful for any help from members of this list for what might be a simple problem... We are trying to simulate the behaviour of a clinical measurement in a series of computer experiments. This is simple enough to do in R if we assume the measurements to be Gaussian, but their empirical distribution has a much higher peak at the mean and the distribution has much longer tails. (The distribution is quite symmetrical) Can anyone suggest any distributions I could fit to this data, and better still how I can then generate random data from this 'distribution' using R? ----------------------------------------------- Dr. David Crabb School of Science, The Nottingham Trent University, Clifton Campus, Nottingham. NG11 8NS Tel: 0115 848 3275 Fax: 0115 848 6690 ===== Diventare costruttori di soluzioni Visitate il portale http://www.modugno.it/ e in particolare la sezione su Palese http://www.modugno.it/archivio/cat_palese.shtml ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
