Fisher's exact test with n x m contingency table

バージョン 1.3.0.0 (3.66 KB) 作成者: Guangdi Li
Do you have problem with Fisher's exact test where the contingency table is more than 2*2?

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更新 2011/9/20

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Fisher's exact test is a statistical test used to determine if there are nonrandom associations between two categorical variables[1].
The job of Fisher's exact test with 2 x 2 or 2x 3 contingency table is already easily done by others. However, the one with n x m contingency table hasn't found , or with bad computation.
This function efficiently deals with Fisher's exact test with n x m contingency table.
As for the function :
[ Sig,PValue,ContigenMatrix ] = FisherExactTest( XVector,YVector )
Input : the data of two variables X,Y as XVector and YVector
Or you can just input the contingency table.
Output: "Sig" returns 1 if X and Y associate,otherwise 0
"PValue" returns the computed p-value
"ContigenMatrix" returns the n x m contingency table

Please start with "Controlcenter.m", there are two simple example for explanation. If you open the algorithm, clear description of the algorithm will be illustrated.
If there is anything wrong, or your personal need, please let me know, I will help you as soon as possible :-)

Reference:
[1] http://mathworld.wolfram.com/FishersExactTest.html

引用

Guangdi Li (2022). Fisher's exact test with n x m contingency table (https://www.mathworks.com/matlabcentral/fileexchange/24379-fisher-s-exact-test-with-n-x-m-contingency-table), MATLAB Central File Exchange. 取得済み .

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