Hi Jim, that's not exactly what I search. In your solution a sequence of dates is generated and a poisson-frequency separatly. But I have to create for example a poisson distributed sequence. E.g.: January 2003 = 3 Events; February 2003 = 4 Events 01.01.2003 02.01.2003 03.01.2003 01.02.2003 02.02.2003 03.02.2003 Because there can be more events than days in a month the "day" should be random. Carsten. _____ Von: jim holtman [mailto:jholtman@gmail.com] Gesendet: Montag, 27. März 2006 01:14 An: Carsten Steinhoff Cc: r-help@stat.math.ethz.ch Betreff: Re: [R] generating random events (dd-mm-yyyy) try this: > data.frame(dates = format(seq(ISOdate(2003,1,1), by='month', length=36), + format='%d.%m.%Y'), date=rpois(36,10)) dates date 1 01.01.2003 11 2 01.02.2003 8 3 01.03.2003 7 4 01.04.2003 7 5 01.05.2003 5 6 01.06.2003 12 7 01.07.2003 9 8 01.08.2003 12 9 01.09.2003 11 ....... On 3/26/06, Carsten Steinhoff wrote: Hello, I have to generate a couple of random datasets to validate an actuarial software. Each set has to contain at least two columns: (1) Date of the loss events occurrence; (2) Severity of loss I'm generating the dates on a monthly basis by, for example: ts(matrix(rpois(36,10)), start=c(2003, 1), frequency=12). >From that output I generate dates "by hand", what is REALLY time consuming :-(. I think it should be possible to get a direct output in "real" dates (dd.mm.yyyy). The day of occurence doesn't matter,it can be chosen randomly, too. Important is only, that the MONTHLY simulated frequency follows the chosen distribution. Any ideas? Thank you very much, Carsten ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Jim Holtman Cincinnati, OH +1 513 646 9390 (Cell) +1 513 247 0281 (Home) What the problem you are trying to solve? [[alternative HTML version deleted]]