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
- Median Absolute Deviation (MAD)
- Outlier Detection (using Iglewicz and Hoaglin's method)
- Outlier Filter / Removal
- More?
Installation
$ npm install stats-analysisUsage
var stats = require("./stats") // include statistics library var arr = [-2, 1, 2, 2, 3, 3, 4, 15];
//standard deviation
stats.stdev(arr).toFixed(2) * 1 // Round to 2dp and convert to number
> 4.88
//mean
stats.mean(arr).toFixed(2) * 1
> 3.86
//median
stats.median(arr)
> 3
//median absolute deviation
stats.MAD(arr)
> 1
// outlier detection. Values above threshold are potential outliers
// 3 params: value-to-test, array, threshold = 3.5
stats.isOutlier(-10, arr) // Default theshold of 3.5 used
> true
stats.isOutlier(-3, arr, 5) // Pass higher threshold
> false
// filter outliers.
// 2 params: array, threshold = 3.5
stats.filterOutliers(arr) // Default threshold of 3.5 used
> [1, 2, 2, 3, 3, 4]
stats.filterOutliers(arr, 2.5) // Pass lower threshold
> [-2, 1, 2, 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 testsResources
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