beetle2 <samandbren...@aapt.net.au> [Fri, Apr 17, 2009 at 11:28:56PM CEST]: > > Hi Guy's > I was wondering if someone could point me in the right direction. > > dbinom(10,1,0.25) > > I am using dbinom(10,1,0.25) to calculate the probabilty of 10 judges > choosing a certain brand x times.
dbinom returns the discrete density of the binomial distribution, which is in your case .75 at 0, .25 at 1 and 0 elsewhere (such as at 10). Is dbinom(0:10, 10, .25) what you are driving at? > > I was wondering how I would go about simulating 1000 trials of each x value > ? Not being entirely sure what you mean, I think rbinom(1000, 10, .25) may be what you want. -- Johannes Hüsing There is something fascinating about science. One gets such wholesale returns of conjecture mailto:johan...@huesing.name from such a trifling investment of fact. http://derwisch.wikidot.com (Mark Twain, "Life on the Mississippi") ______________________________________________ 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.