Computes quantiles for numeric array.
$ npm install compute-quantilesFor use in the browser, use browserify.
To use the module,
var quantiles = require( 'compute-quantiles' );Computes q-quantiles for a numeric array.
var unsorted = [ 4, 2, 5, 3 ];
var q = quantiles( unsorted, 2 );
// returns [ 2, 3.5, 5 ]If the input array is already sorted in ascending order, set the sorted options flag to true.
var sorted = [ 2, 3, 4, 5 ];
var q = quantiles( sorted, 2, {'sorted': true} );
// returns [ 2, 3.5, 5 ];var data = new Array( 1000 );
for ( var i = 0; i < data.length; i++ ) {
data[ i ] = Math.random()*100;
}
console.log( quantiles( data, 10 ) );To run the example code from the top-level application directory,
$ node ./examples/index.js- This function returns the 0th and 100th quantiles; a.k.a., the min and the max. For example, when computing the median,
var data = new Array( 11 );
for ( var i = 0; i < data.length; i++ ) {
data[ i ] = i+1;
}
console.log( quantiles( data, 2 ) );
// returns [ 1, 6, 11 ]the function returns [1,6,11], where min = 1, max = 11, and median = 6. Accordingly, you should expect the output to be an array with length = q + 1, where q is the number of quantiles.
- If provided an unsorted input
array, the function isO( q + N log(N) ), whereqis the number of quantiles andNis the inputarraylength. If the inputarrayis already sorted in ascending order, the function isO( q ).
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 testAll 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-covIstanbul creates a ./reports/coverage directory. To access an HTML version of the report,
$ make view-covCopyright © 2014. Athan Reines.