Perhaps you should read ?dhyper
and if you have a hard time parsing that, then read ?Distributions and then go back to ?dhyper --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. jas4710 <wata...@post.com> wrote: > >I'm going to use > >dhyper(x, m, n, k) > >to get a 95% coverage. Let me use an example to explain my problem: > >Suppose I have a urn containing 90 red and 10 black balls. >Now I wanna remove 3 from the urn. By the following codes: > >m<-90;n<-10;k<-3; >x<-0:3 >dhyper(x,m,n,k) > >I can obtain the probability that 0,1,2,3 red balls will be removed. > 0.000742115 0.025046382 0.247680891 0.726530612 > >So >95% time, 2 to 3 red balls will be removed and the resultant >composition >will be changed to >87:10 or 88:9, the original percent of red balls will be changed from >90 to >89.69 to 90.72 then. > >If now I have 50:50 and again to remove 3 balls, I will obtain the >probability as: >0.1212 0.3788 0.3788 0.1212 > >To get the resultant range of red balls for >95% time, this time all >the >four cases have to consider and so the resultant change of red balls >will >become 48.45 to 51.54 > >So my problem is, is there any convenient built-in function that helps >extract this 95% confidence interval-like data? > > > > > > >-- >View this message in context: >http://r.789695.n4.nabble.com/Retrieve-hypergeometric-results-in-large-scale-tp4644683.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. ______________________________________________ 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.