flow-skewness
v1.0.1
Published
Reduce stream factory to calculate the sample skewness of streamed data values.
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flow-skewness
Reduce stream factory to calculate the sample skewness of streamed data values.
Installation
$ npm install flow-skewness
For use in the browser, use browserify.
Usage
To create a stream factory,
var flowFactory = require( 'flow-skewness' );
// Create a new factory:
var flowStream = flowFactory();
The factory has the following methods...
flowStream.stream()
Creates a new stream for computing the sample skewness. To create a new stream,
var stream = flowStream.stream();
Examples
var eventStream = require( 'event-stream' ),
flowFactory = require( 'flow-skewness' );
// Create some data...
var data = new Array( 1000 );
for ( var i = 0; i < data.length; i++ ) {
data[ i ] = Math.random();
}
// Create a readable stream:
var readStream = eventStream.readArray( data );
// Create a new stream:
var stream = flowFactory().stream();
// Pipe the data:
readStream
.pipe( stream )
.pipe( eventStream.map( function( d, clbk ){
clbk( null, d.toString()+'\n' );
}))
.pipe( process.stdout );
To run the example code from the top-level application directory,
$ node ./examples/index.js
Notes
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.
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,
$ open reports/coverage/lcov-report/index.html
License
Copyright
Copyright © 2014. Athan Reines.