How should we proceed with simulating draws from the t distribution? Should we draw samples and calculate the standard error, and the t-statistic? ..and whence from there? confused, Stan **************************** Stanislav Markus Ph.D. Candidate Harvard University Department of Government e: smarkus(a)fas.harvard.edu t: 617.513.5407 -----Original Message----- From: gov2001-l-admin(a)fas.harvard.edu [mailto:gov2001-l-admin@fas.harvard.edu] On Behalf Of John Bright Sent: Sunday, February 23, 2003 4:23 PM To: 'gov2001' Subject: [gov2001-l] Sampling from the B to the E to the T to the A. Here's an R efficiency question. The manner in which I am sampling from my beta distribution is via the sample() function, where I define x to be a vector (.01,.02,.03, ... 1.0) (the possible values of pi), and p the vector that contains the probability values for each ordinate in the vector x. So, my sample function looks something like: pi <- sample(x=all.pi, n=N, replace=T, p=beta.prob) Is there a different way to accomplish this that does not require constructing the vectors of possible pi's and their corresponding probabilities explicitly? Thanks, John. _______________________________________________ gov2001-l mailing list gov2001-l(a)fas.harvard.edu http://www.fas.harvard.edu/mailman/listinfo/gov2001-l _______________________________________________ gov2001-l mailing list gov2001-l(a)fas.harvard.edu http://www.fas.harvard.edu/mailman/listinfo/gov2001-l