[SciPy-User] fisherexact.py returns None
josef.pktd at gmail.com
josef.pktd at gmail.com
Sun Dec 20 23:20:16 EST 2009
On Sun, Dec 20, 2009 at 8:07 PM, Pete Shepard <peter.shepard at gmail.com> wrote:
> Your corrected version seems to work. Strangely though when I uncomment line
> 99 it fails?
>
> 98 res = fisherExact([[100, 2], [1000, 5]])
> 99 assert(approxEqual(res[1], 0.1973244))
doesn't seem strange to me. 0.1973244 is the answer for a different
matrix in the original file of the ticket
>>> def approxEqual(n1, n2) : return abs(n1 - n2) < 0.01
>>> fisherExact([[100, 2], [1000, 5]])
(0.25, 0.13007593634330314)
>>> res = fisherExact([[5, 1], [10, 10]])
>>> assert(approxEqual(res[1], 0.1973244))
>>> res
(5.0, 0.19732441471571543)
Josef
>
> On Sun, Dec 20, 2009 at 2:04 PM, <josef.pktd at gmail.com> wrote:
>>
>> On Sun, Dec 20, 2009 at 4:44 PM, Pete Shepard <peter.shepard at gmail.com>
>> wrote:
>> > I think the indent issue was due to copying and pasting also, attached
>> > is
>> > the code.
>>
>> your attached file has inconsistent indentation all over the place
>> (according to IDLE, which refuses to run the file, or maybe there are
>> additional tabs instead of white space)
>> your return statement is indented relative to the if , as mentioned in
>> my previous message. If you unindent then the None disappears.
>>
>> I attach my indent corrected version.
>>
>> What editor are you using? It is possible that you are seeing
>> different formatting than I do on Windows.
>>
>> Josef
>>
>> >
>> > On Sun, Dec 20, 2009 at 1:05 PM, <josef.pktd at gmail.com> wrote:
>> >>
>> >> On Sun, Dec 20, 2009 at 3:50 PM, Pete Shepard <peter.shepard at gmail.com>
>> >> wrote:
>> >> > Thanks for the reply Josef,
>> >> >
>> >> > Numpy version =1:1.3.0-3
>> >> > SciPy version=0.7.0-2
>> >> >
>> >> >
>> >> > Here is the code I am using, interstingly line 99 chokes in the
>> >> > testFisherExact() : example, don't know if these problems are related
>> >> >
>> >> >
>> >> > # -*- coding: utf-8 -*-
>> >> >
>> >> > #!/usr/bin/python
>> >> >
>> >> >
>> >> > import re
>> >> > import sys, os
>> >> > from scipy.stats import *
>> >> > #from scipy import array,searchsorted, histogram
>> >> > import re
>> >> > import operator
>> >> > import matplotlib
>> >> > matplotlib.use('PDF')
>> >> > import pylab
>> >> > "
>> >> >
>> >> > def fisherExact(c) :
>> >> > """Performs a Fisher exact test on a 2x2 contingency
>> >> > table
>> >> > in
>> >> > list of lists
>> >> > format. Returns a tuple of (odds ratio, two-tailed
>> >> > P-value).
>> >> >
>> >> > Examples:
>> >> > >>> fisherExact([[100, 2], [1000, 5]])
>> >> > (0.25, 0.13007593634330314)
>> >> > """
>> >> > oddsRatio = c[0][0] * c[1][1] / float(c[1][0] * c[0][1])
>> >> > n1 = c[0][0] + c[0][1]
>> >> > n2 = c[1][0] + c[1][1]
>> >> > n = c[0][0] + c[1][0]
>> >> >
>> >> > mode = int(float((n + 1) * (n1 + 1)) / (n1 + n2 + 2))
>> >> > pExact = hypergeom.pmf(c[0][0], n1 + n2, n1, n)
>> >> > pMode = hypergeom.pmf(c[0][0], n1 + n2, n1, n)
>> >> >
>> >> > if c[0][0] == mode :
>> >> > return oddsRatio, 1.0
>> >> > elif c[0][0] < mode :
>> >> > pLower = hypergeom.cdf(c[0][0], n1 + n2, n1, n)
>> >> >
>> >> > # Binary search for where to begin upper half.
>> >> > min = mode
>> >> > max = n
>> >> > guess = -1
>> >> > while min != max :
>> >> > guess = max if (max == min + 1 and guess
>> >> > ==
>> >> > min)
>> >> > else \
>> >> > (max + min) / 2
>> >> >
>> >> > pGuess = hypergeom.pmf(guess, n1 + n2,
>> >> > n1,
>> >> > n)
>> >> > if pGuess <= pExact and
>> >> > hypergeom.pmf(guess
>> >> > - 1,
>> >> > n1 + n2, n1, n) > pExact :
>> >> > break
>> >> > elif pGuess < pExact :
>> >> > max = guess
>> >> > else :
>> >> > min = guess
>> >> >
>> >> > if guess == -1 and min == max :
>> >> > guess = min
>> >> >
>> >> > return oddsRatio, pLower + hypergeom.sf(guess -
>> >> > 1,
>> >> > n1 +
>> >> > n2, n1, n)
>> >> > else :
>> >> > pUpper = hypergeom.sf(c[0][0] - 1, n1 + n2, n1,
>> >> > n);
>> >> >
>> >> > # Special case to prevent binary search from
>> >> > getting
>> >> > stuck.
>> >> > if hypergeom.pmf(0, n1 + n2, n1, n) > pExact :
>> >> > return oddsRatio, pUpper
>> >> >
>> >> > # Binary search for where to begin lower half.
>> >> > min = 0
>> >> > max = mode
>> >> > guess = -1
>> >> > while min != max :
>> >> > guess = max if (max == min + 1 and guess
>> >> > ==
>> >> > min)
>> >> > else \
>> >> > (max + min) / 2
>> >> > pGuess = hypergeom.pmf(guess, n1 + n2,
>> >> > n1,
>> >> > n);
>> >> >
>> >> > if pGuess <= pExact and
>> >> > hypergeom.pmf(guess
>> >> > + 1,
>> >> > n1 + n2, n1, n) > pExact :
>> >> > break;
>> >> > elif pGuess <= pExact :
>> >> > min = guess
>> >> > else :
>> >> > max = guess
>> >> >
>> >> > if guess == -1 and min == max :
>> >> > guess = min
>> >> > return oddsRatio, pUpper +
>> >> > hypergeom.cdf(guess,
>> >> > n1 +
>> >> > n2, n1, n)
>> >>
>> >> this return line has the wrong indent, it should be at the same column
>> >> as the if guess == -1 and min == max :
>> >>
>> >> Note: I had to reformat the indent to 4 spaces because IDLE
>> >> complained. In these cases, it would be better to also attach the
>> >> file, then I would be sure I have the same file than with copy and
>> >> paste from the mail reader.
>> >>
>> >> Tell me if that solves the problem, I would think it's unlikely that
>> >> your versions of scipy is to old for this.
>> >>
>> >> Josef
>> >>
>> >> >
>> >> > def testFisherExact() :
>> >> > """Just some tests to show that fisherExact() works correctly."""
>> >> > def approxEqual(n1, n2) :
>> >> > return abs(n1 - n2) < 0.01
>> >> >
>> >> > res = fisherExact([[100, 2], [1000, 5]])
>> >> > assert(approxEqual(res[1], 0.1301))
>> >> > assert(approxEqual(res[0], 0.25))
>> >> > res = fisherExact([[2, 7], [8, 2]])
>> >> > assert(approxEqual(res[1], 0.0230141))
>> >> > assert(approxEqual(res[0], 4.0 / 56))
>> >> > res = fisherExact([[100, 2], [1000, 5]])
>> >> > #assert(approxEqual(res[1], 0.1973244))
>> >> > res = fisherExact([[5, 15], [20, 20]])
>> >> > assert(approxEqual(res[1], 0.0958044))
>> >> > res = fisherExact([[5, 16], [20, 25]])
>> >> > assert(approxEqual(res[1], 0.1725862))
>> >> > res = fisherExact([[10, 5], [10, 1]])
>> >> > assert(approxEqual(res[1], 0.1973244))
>> >> >
>> >> > D=[[6, 1], [1, 6]]
>> >> > testFisherExact()
>> >> > p=fisherExact(D)
>> >> > print p
>> >> > On Sun, Dec 20, 2009 at 10:37 AM, <josef.pktd at gmail.com> wrote:
>> >> >>
>> >> >> On Sun, Dec 20, 2009 at 12:26 PM, Pete Shepard
>> >> >> <peter.shepard at gmail.com>
>> >> >> wrote:
>> >> >> > Hello,
>> >> >> >
>> >> >> > I am using a fisher exact test I got from
>> >> >> > http://projects.scipy.org/scipy/attachment/ticket/956/fisher.py.
>> >> >> > This
>> >> >> > program takes in two tuples and returns an odds ratio and a
>> >> >> > p-value.
>> >> >> > Most
>> >> >> > tuples are handled nicely by the script but certain tuples eg
>> >> >> > "[[6,
>> >> >> > 1],
>> >> >> > [1,
>> >> >> > 6]]" return "None". I am wondering if anyone knows why this is
>> >> >> > true?
>> >> >>
>> >> >> I get this, with and without the patch of thomas in the comments
>> >> >>
>> >> >> >>> fisherExact([[6, 1], [1, 6]])
>> >> >> (36.0, 0.029137529137528768)
>> >> >>
>> >> >> Do you have an exact example? Which version of numpy and scipy?
>> >> >> Looking at the code, I don't see any reason why it should return
>> >> >> None.
>> >> >>
>> >> >> Josef
>> >> >> >
>> >> >> > TIA
>> >> >> >
>> >> >> > _______________________________________________
>> >> >> > SciPy-User mailing list
>> >> >> > SciPy-User at scipy.org
>> >> >> > http://mail.scipy.org/mailman/listinfo/scipy-user
>> >> >> >
>> >> >> >
>> >> >> _______________________________________________
>> >> >> SciPy-User mailing list
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>> >> >
>> >> >
>> >> > _______________________________________________
>> >> > SciPy-User mailing list
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>> >> >
>> >> >
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