Fast Fisher's Exact Test
Project description
Fisher’s Exact Test
Simple, fast implementation of Fisher’s exact test. . For example, for the following table:
o |
Having the property |
Not having the property |
|---|---|---|
Selected |
12 |
5 |
Not selected |
29 |
2 |
Perhaps we are interested in whether there is any difference of property in selected vs. non-selected groups, then we can do the Fisher’s exact test.
Installation
within this folder
easy_install .
from pypi
easy_install fisher
or from github (contributions welcomed)
git clone git://github.com/brentp/fishers_exact_test.git
Usage
fisher.pvalue() accepts 4 values corresponding to the 2-by-2 contingency table, returns an object with attributes for left_tail, right_tail, and two_tail p-values
>>> from fisher import pvalue >>> mat = [[12, 5], [29, 2]] >>> p = pvalue(12, 5, 29, 2) >>> p.left_tail, p.right_tail, p.two_tail (0.044554737835078267, 0.99452520602190897, 0.08026855207410688)
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