MyFisher23

A very compact routine for Fisher's exact test on 2x3 contingency table
3,6K descargas
Actualizado 6 may 2018

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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2006b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión
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.

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.