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| File Information |
| Description |
Fisher's exact test of 3x3 contingency tables permits calculation of precise probabilities in situation where, as a consequence of small cell frequencies, the much more rapid normal approximation and chi-square calculations are liable to be inaccurate. The Fisher's exact test involves the computations of several factorials to obtain the probability of the observed and each of the more extreme tables. Factorials growth quickly, so it's necessary use logarithms of factorials. In Matlab this is very easy using the Gammaln function. The function uses preallocation and vectorization to speed-up the computations. Actually, the function also computes the mid-P correction to make the test less conservative.
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| MATLAB release |
MATLAB 7.3 (R2006b)
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| Updates |
| 01 May 2008 |
waitbar added |
| 27 Jun 2008 |
6-fold speed up using preallocation |
| 02 Jul 2008 |
Speeding up using preallocation and gammaln calculation |
| 12 Nov 2008 |
Changes in help section |
| 26 Nov 2008 |
Improvements in table enumeration |
| 23 Oct 2009 |
Actually, the function also computes the mid-P correction to make the test less conservative. |
| 23 Dec 2009 |
Changes in description |
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