Computes the sample skewness of an array of values.
$ npm install compute-skewness
For use in the browser, use browserify.
To use the module,
var skewness = require( 'compute-skewness' );
var data = new Array( 100 );
for ( var i = 0; i < data.length; i++ ) {
data[ i ] = Math.random();
}
console.log( skewness( data ) );
To run the example code from the top-level application directory,
$ node ./examples/index.js
The formula for computing the sample skewness comes from
Jones and Gill (1998). Comparing measures of sample skewness and kurtosis. The Statistician. DOI: 10.1111/1467-9884.00122
The test data comes from Measures of Shape: Skewness and Kurtosis by Stan Brown.
Unit tests use the Mocha test framework with Chai assertions. To run the tests, execute the following command in the top-level application directory:
$ make test
All new feature development should have corresponding unit tests to validate correct functionality.
This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:
$ make test-cov
Istanbul creates a ./reports/coverage
directory. To access an HTML version of the report,
$ open reports/coverage/lcov-report/index.html
Copyright © 2014. Athan Reines.