R help - Oct 2012 - Retrieve hypergeometric results in large scale

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.

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:<jdnewmil at 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 <watashi at 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 at 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.