You can save some time by generating all your samples at one time: t1 <- matrix(rnorm(5 * n, 100, 10), nc = n) apply(t1, 2, mean) (Or use colVars and colMeans to save even more time)
Hope this helps, Matt Wiener -----Original Message----- From: Cheryl H. [mailto:[EMAIL PROTECTED] Sent: Tuesday, March 18, 2003 11:26 PM To: [EMAIL PROTECTED] Subject: [R] r-help using random generating To whom it may concern: Given that my sample size is n, my mean is 100, and my sd is 10, I need to use a random number generator (which I believe is the function rnorm(5,100,10)), but I need to repeat it a large number of times, and then plot the sampling distributions of the sample means, sd's, and variances of those generated sets. I'm having a real hard time trying to figure out how to do this easily. Please help if possible! Thanks, Cheryl ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help ------------------------------------------------------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
