@stdlib/stats-array-nanmeanpn
v0.1.1
Published
Calculate the arithmetic mean of an array, ignoring NaN values and using a two-pass error correction algorithm.
Readme
nanmeanpn
Calculate the arithmetic mean of an array, ignoring
NaNvalues and using a two-pass error correction algorithm.
Installation
npm install @stdlib/stats-array-nanmeanpnUsage
var nanmeanpn = require( '@stdlib/stats-array-nanmeanpn' );nanmeanpn( x )
Computes the arithmetic mean of an array, ignoring NaN values and using a two-pass error correction algorithm.
var x = [ 1.0, -2.0, NaN, 2.0 ];
var v = nanmeanpn( x );
// returns ~0.3333The function has the following parameters:
- x: input array.
Notes
- If provided an empty array, the function returns
NaN. - The function supports array-like objects having getter and setter accessors for array element access (e.g.,
@stdlib/array-base/accessor).
Examples
var uniform = require( '@stdlib/random-base-uniform' );
var bernoulli = require( '@stdlib/random-base-bernoulli' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var nanmeanpn = require( '@stdlib/stats-array-nanmeanpn' );
function rand() {
if ( bernoulli( 0.8 ) < 1 ) {
return NaN;
}
return uniform( -50.0, 50.0 );
}
var x = filledarrayBy( 10, 'float64', rand );
console.log( x );
var v = nanmeanpn( x );
console.log( v );Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
