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| File Information |
| Description |
In statistics, McNemar's test is a non-parametric method used on nominal
data to determine whether the row and column marginal frequencies are equal. It is named after Q. McNemar, who introduced it in 1947. It is applied to 2x2 contingency tables with a dichotomous trait with matched pairs of subjects.
This is only a simply function to perform the McNemar's chi-square with Yates'es correction. The function requires Statistics Toolbox because calls CHI2INV and CHI2CDF function.
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| Required Products |
Statistics Toolbox
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| MATLAB release |
MATLAB 7.3 (R2006b)
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| Comments and Ratings (2) |
| 02 Jul 2007 |
Sarah Inowe
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| 20 Oct 2009 |
Skynet
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| Updates |
| 24 Sep 2008 |
Improvement in input error handling. Statistics toolbox is no more required. |
| 25 Sep 2008 |
mistake correction |
| 12 Nov 2008 |
Changes in help section |
| 23 Dec 2009 |
Changes in description |
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