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Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.

Package Exports

  • flow-pcc

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (flow-pcc) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

flow-pcc

Reduce transform stream which computes the Pearson product-moment correlation coefficient (PCC) of a numeric data stream.

Installation

$ npm install flow-pcc

Examples

var eventStream = require( 'event-stream' ),
    cStream = require( 'flow-pcc' );

// Create some data... (negatively corrrelated)
var data = new Array( 1000 ), value;
for ( var i = 0; i < data.length; i++ ) {
    value = Math.random() * 50;
    data[ i ] = {
        'y1': 50 + value,
        'y2': 50 - value
    }
}

// Create a readable stream:
var readStream = eventStream.readArray( data );

// Create a new stream:
var stream = cStream()
    .accessors( 'y1', function( d ) {
        return d.y1;
    })
    .accessors( 'y2', function( d ) {
        return d.y2;
    })
    .stream();

// Pipe the data:
readStream.pipe( stream )
    .pipe( eventStream.stringify() )
    .pipe( process.stdout );

Tests

Unit tests use the Mocha test framework with Chai assertions.

Assuming you have installed Mocha, execute the following command in the top-level application directory to run the tests:

$ mocha

All new feature development should have corresponding unit tests to validate correct functionality.

License

MIT license.


Copyright © 2014. Athan Reines.