MyFisher33

A very compact routine to compute Fisher's exact test on a 3x3 matrix
3.1K Downloads
Updated 23 Dec 2020

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.

Cite As

Giuseppe Cardillo (2024). MyFisher33 (https://github.com/dnafinder/myfisher33), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
2.0.0.0

inputparser; table implementation; github link

1.6.0.0

Minor bug correction

1.4.0.0

Changes in description

1.3.0.0

Actually, the function also computes the mid-P correction to make the test less conservative.

1.2.0.0

Improvements in table enumeration

1.1.0.0

Changes in help section

1.0.0.0

Speeding up using preallocation and gammaln calculation

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.