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Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of jas4710
> Sent: Monday, October 01, 2012 9:59 AM
> To: r-help@r-project.org
&
Hello,
See the differences.
k <- 3
p <- 0.95
m <- 90; n <- 10
dhyper(0:k, m, n, k) # Prob(X = x), with x = 0:k
phyper(0:k, m, n, k) # Prob(X <= x)
# quantiles, what you want
qhyper(p, m, n, k) # inverse of phyper
m <- 50; n <- 50
dhyper(0:k, m, n, k)
phyper(0:k, m, n, k)
qhyper(p, m, n, k)
Thanks Jeff~~~
In fact I do not know how to combine and extract vectors in R.
ans<-sort(dhyper(x, m, n, k),decreasing=TRUE)
rbind(ans,cumsum(ans)
will show the first point that exceeds 95% threshold. The problem is:
*information is lost*
I can no longer identify where are the first few elements
If you have not already done so, stop what you are doing and work
through the Introduction to R tutorial that ships with R (or other R
tutorial on the web that you may prefer).
The tutorials are written to help you climb the R learning curve much
more efficiently than the fooling around that you a
Hi Bert. This is not a homework. If I can do some basic programming in R like
Perl, then I'll have a better chance to accomplish this task but the matrix
concept is not quickly comprehensible...
--
View this message in context:
http://r.789695.n4.nabble.com/Retrieve-95-coverage-of-results-from-
Thanks Jeff
The documentation pages, if I haven't missed any crucial points, illustrate
how to get probability and cumulative probability values.
I can first retrieve the data structures and use Perl (I don't know how to
use R...) to sort the derived ratios and sum the probability values until
th
Homework? There's a no homework policy on this list.
-- Bert
On Mon, Oct 1, 2012 at 8:10 AM, Jeff Newmiller wrote:
> Perhaps you should read
>
> ?dhyper
>
> and if you have a hard time parsing that, then read
>
> ?Distributions
>
> and then go back to
>
> ?dhyper
> --
Perhaps you should read
?dhyper
and if you have a hard time parsing that, then read
?Distributions
and then go back to
?dhyper
---
Jeff NewmillerThe . . Go Live...
DCN:Bas
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
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