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Package detail

compute-mstdev

compute-io1.2k1.0.0

Computes a moving sample standard deviation over a numeric array.

compute.io, compute, computation, mathematics, math, statistics, stats, timeseries, arithmetic, variance, sample variance, stdev, standard deviation, sample standard deviation, moving, window, array, dispersion, sliding

readme

Moving Sample Standard Deviation

NPM version Build Status Coverage Status Dependencies

Computes a moving (sliding window) sample standard deviation over a numeric array.

Installation

$ npm install compute-mstdev

For use in the browser, use browserify.

Usage

To use the module,

var mstdev = require( 'compute-mstdev' );

mstdev( arr, window )

Slides a window over a numeric array to compute a moving sample standard deviation.

var data = [ 1, 5, 0, 10, 2 ];

var arr = mstdev( data, 3 );
// returns [ ~2.6, 5, ~5.3 ]

Note: the returned array has length L - W + 1, where L is the length of the input array and W is the window size.

Examples

var mstdev = require( 'compute-mstdev' );

// Simulate some data...
var data = new Array( 50 );

for ( var i = 0; i < data.length; i++ ) {
    data[ i ] = Math.random() * 100;
}

// Compute the moving sample standard deviation:
var arr = mstdev( data, 7 );

console.log( arr.join( '\n' ) );

To run the example code from the top-level application directory,

$ node ./examples/index.js

Tests

Unit

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.

Test Coverage

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,

$ make view-cov

License

MIT license.


Copyright © 2014. Athan Reines.