Since the standard normal distribution goes to infinity in both directions, you can't have random normal constrained to +-1.5.
You can have _truncated_ standard normal, though, if that's really what you want. +-1.5 is/are the normal quantiles at pnorm(c(-1.5,1.5)). So if we generate 500 uniformly distributed probabilities in the range pnorm(c(-1.5,1.5)), and then run qnorm on those, you should get what you want: Try this: lims<-pnorm(c(-1.5,1.5)) #get the range of probs required x<-qnorm(runif(500,lims[1],lims[2])) hist(x) Steve E. >>> dxc13 <[EMAIL PROTECTED]> 07/25/08 12:35 AM >>> useR's, I want to randomly generate 500 numbers from the standard normal distribution, i.e. N(0,1), but I only want them to be generated in the range -1.5 to 1.5. Does anyone have a simple way to do this? Thanks, dxc13 -- View this message in context: http://www.nabble.com/simple-random-number-generation-tp18642611p18642611.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. ******************************************************************* This email and any attachments are confidential. Any use...{{dropped:8}} ______________________________________________ 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.
