Hi Michael, Experts will answer you better than me, but IMHO there is no "best practices". In general you deal with set.seed() when you want that others (or yourself) reproduce the same sequence of random numbers generation as you run on a moment.
Best regards milton On Wed, Feb 3, 2010 at 10:57 PM, Michael Hannon <jm_han...@yahoo.com> wrote: > Greetings. I understand that to generate distinct sequences of random > numbers > in R one can initialize the calculation of each sequence by calling the > set.seed() function with a distinct value for "seed" the (integer) first > argument to the function. > > I'd like to know if there are any guidelines or best practices for > choosing "seed". > > I.e., is it OK just to choose seed as any consecutive integers (1, 2, 3, > ...), > or should the integers be, say, relatively prime (7, 9, 13, ...), or > disjoint > sequences of digits from pi (14159, 26535, 89793, ...) or ...? > > Thanks. > > -- Mike > > ______________________________________________ > 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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ 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.
