MyFisher23

Version 2.0.0.0 (14 KB) by Giuseppe Cardillo
A very compact routine for Fisher's exact test on 2x3 contingency table
4.0
(4)
3.6K Downloads
Updated 6 May 2018
View License on GitHub

Fisher's exact test of 2x3 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. This computations is very easy in Matlab because x!=gamma(x+1) and log(x!)=gammaln(x+1). This function is fully vectorized to speed up the computation.
Syntax: p=myfisher23(x)

Inputs:
X - 2x3 data matrix
Outputs:
- Three p-values

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2007) MyFisher23: a very compact routine for Fisher's exact test on 2x3 matrix http://www.mathworks.com/matlabcentral/fileexchange/15399

Cite As

Giuseppe Cardillo (2024). MyFisher23 (https://github.com/dnafinder/myfisher23), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2006b
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

reuploading
1.5.0.0

Changes in description
1.4.0.0

Actually, the function also computes the mid-P correction to make the test less conservative.
1.3.0.0

Actually, the function also computes the mid-P correction to make the test less conservative.
1.2.0.0

little improvements in tables enumeration
1.1.0.0

Changes in help section
1.0.0.0

Speeding up using gammaln function and vectorization.
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.