MyFisher33

版本 2.0.0.0 (14.2 KB) 作者: Giuseppe Cardillo
A very compact routine to compute Fisher's exact test on a 3x3 matrix
3.1K 次下载
更新时间 2020/12/23

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.

引用格式

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

MATLAB 版本兼容性
创建方式 R2014b
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库