nanhmean
Computes the harmonic mean of an array of values ignoring any values which are not numeric.
Installation
$ npm install compute-nanhmean
For use in the browser, use browserify.
Usage
To use the module,
var nanhmean = require( 'compute-nanhmean' );
nanhmean( arr )
Computes the harmonic mean ignoring non-numeric values.
var data = [ 1, 5, NaN, 3, 4, NaN, 16 ];
var mu = nanhmean( data );
// returns ~2.7088
Note: only calculate the harmonic mean for positive, real numbers.
If an array
contains negative numbers, the harmonic mean is nonsensical. For example, consider x = [ 3, -3, 4 ]
. The harmonic mean of x
is 12
, while the arithmetic mean is 1.33333...
. The harmonic mean should never be greater than the arithmetic mean.
Similarly, if an array
contains zero values, the harmonic mean is also zero: 1/0 --> infinity
and 1/infinity --> 0
. For example, consider x = [ 0, 100, 1000, 10000 ]
. Using the textbook definition of the harmonic mean, the mean would be 0
, which, given x
, does not make sense.
If an array
contains elements less than or equal to 0
, the function returns NaN
.
Examples
var nanhmean = require( 'compute-nanhmean' );
var data = new Array( 1000 );
for ( var i = 0; i < data.length; i++ ) {
if ( i%5 === 0 ) {
data[ i ] = NaN;
} else {
data[ i ] = Math.random() * 100;
}
}
console.log( nanhmean( data ) );
To run the example code from the top-level application directory,
$ node ./examples/index.js
Notes
The harmonic mean of an array containing non-numeric values is equal to the harmonic mean of an equivalent array which contains only the numeric values. Hence,
var d1 = [ 1, NaN, 2, 3, NaN ],
d2 = [ 1, 2, 3 ];
console.log( nanhmean( d1 ) === nanhmean( d2 ) );
// returns true
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
Copyright
Copyright © 2014. Athan Reines.