[Numpy-discussion] Alternative to R phyper

Bruno Santos bacmsantos@gmail....
Mon Apr 30 06:09:20 CDT 2012

Hello everyone,

I have a bit of code where I am using rpy2 to import R phyper so I can
perform an hypergeometric test. Unfortunately our cluster does not have a
functional installation of rpy2 working. So I am wondering if I could
translate to scipy which would make the code completly independent of R.
The python code I have is as following:

def lphyper(self,q,m,n,k):
        Calculate p-value using R function phyper from rpy2 low-level
        "R Documentation
        phyper(q, m, n, k, lower.tail = TRUE, log.p = FALSE)
        q: vector of quantiles representing the number of white balls
            drawn without replacement from an urn which contains both
            black and white balls.
        m: the number of white balls in the urn.
        n: the number of black balls in the urn.
        k: the number of balls drawn from the urn.
        log.p: logical; if TRUE, probabilities p are given as log(p).
        lower.tail: logical; if TRUE (default), probabilities are P[X <= x],
            otherwise, P[X > x].
        phyper_q = SexpVector([q,], rinterface.INTSXP)
        phyper_m = SexpVector([m,], rinterface.INTSXP)
        phyper_n = SexpVector([n,], rinterface.INTSXP)
        phyper_k = SexpVector([k,], rinterface.INTSXP)
        return phyper(phyper_q,phyper_m,phyper_n,phyper_k,**myparams)[0]

I have looked to scipy.stats.hypergeom but it is giving me a different
result which is also negative.
> 1-phyper(45, 92, 7518, 1329)
[1] 6.92113e-13

In [24]: stats.hypergeom.sf(45,(92+7518),92,1329)
Out[24]: -8.4343643180773142e-12

This was supposed to be an error with an older version of scipy but I am
using more recent versions of it which should not contain the error anymore:
In [26]: numpy.__version__
Out[26]: '1.5.1'
In [27]: scipy.__version__
Out[27]: '0.9.0'

thank you very much in advance for any help.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20120430/1f59a312/attachment.html 

More information about the NumPy-Discussion mailing list