Package Exports

stats-analysis

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Readme

Statistics and Data Analysis

Mini javascript statistics library for nodejs or the browser.
No production dependencies.

Current Library Coverage

Standard Deviation
Mean
Median (sorts before calculating)
Median Absolute Deviation (MAD)
Outlier Detection & Filtering using Iglewicz and Hoaglin's method (MAD)
Outlier Detection & Filtering using Median Differencing (Default method)

Installation

$ npm install stats-analysis

Usage

var stats = require("./stats-analysis") // include statistics library

var arr = [-2, 1, 2, 3, 3, 4, 15]

//standard deviation
stats.stdev(arr).toFixed(2) * 1 // Round to 2dp and convert to number
> 4.98

//mean
stats.mean(arr).toFixed(2) * 1 
> 3.57

//median
stats.median(arr)
> 2

//median absolute deviation
stats.MAD(arr)
> 1

// Outlier detection. Returns indexes of outliers
stats.indexOfOutliers(arr)  // Default theshold of 3
> [6]

stats.indexOfOutliers(arr, 6) // Supply higher threshold to allow more outliers.

// Outlier filtering. Returns array with outliers removed.
stats.filterOutliers(arr)
> [-2, 1, 2, 3, 3, 4]

Tests

Mocha is used as the testing framework.
To run the tests, simply run the following commands:

$ npm install  // Grab mocha
$ npm test     // Run tests

Resources

Engineering statistics handbook:
http://www.itl.nist.gov/div898/handbook/index.htm

Contribute to the library

Fork it!
Create your feature branch: git checkout -b my-new-feature
Commit your changes: git commit -m 'Add some feature'
Push to the branch: git push origin my-new-feature
Submit a pull request :D

License

MIT