mann-whitney-utest

    1.0.5 • Public • Published

    Mann-Whitney U Test

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    This is an NPM module that allows you to perform the Mann-Whitney U test on numeric samples. The Mann-Whitney U test is a nonparametric statistical test that does not assume a normal distribution.

    To use it, simply install via NPM and include it in your project file.

        var mwu = require('mann-whitney-utest');
    

    Then, to test an array of samples, use the test method.

        var samples = [ [30, 14, 6], [12, 15, 16] ];
        console.log(mwu.test(samples)); // [ 4, 5 ]
    

    To test whether the result is significant, use the significant method. This tests the U-value against an approximate critical value.

        var u = mwu.test(samples);
        if (mwu.significant(u, samples)) {
            console.log('The data is significant!');
        } else {
            console.log('The data is not significant.');
        }
    

    You can check your answers using the check method. This exploits a property of the Mann-Whitney test that ensures the sum of the U values does not exceed the product of the number of observations.

        var u = mwu.test(samples);
        if (mwu.check(u, samples)) {
            console.log('The values are correct');
        }
    

    Install

    npm i mann-whitney-utest

    DownloadsWeekly Downloads

    32

    Version

    1.0.5

    License

    MIT

    Last publish

    Collaborators

    • lukem512