Calculate the arithmetic mean of an array using a two-pass error correction algorithm.
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> Calculate the [arithmetic mean][arithmetic-mean] of an array using a two-pass error correction algorithm.
``bash`
npm install @stdlib/stats-array-meanpn
`javascript`
var meanpn = require( '@stdlib/stats-array-meanpn' );
#### meanpn( x )
Computes the [arithmetic mean][arithmetic-mean] of an array using a two-pass error correction algorithm.
`javascript
var x = [ 1.0, -2.0, 2.0 ];
var v = meanpn( x );
// returns ~0.3333
`
The function has the following parameters:
- x: input array.
- If provided an empty array, the function returns NaN.@stdlib/array-base/accessor
- The function supports array-like objects having getter and setter accessors for array element access (e.g., [][@stdlib/array/base/accessor]).
`javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var meanpn = require( '@stdlib/stats-array-meanpn' );
var x = discreteUniform( 10, -50, 50, {
'dtype': 'float64'
});
console.log( x );
var v = meanpn( x );
console.log( v );
`
*
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
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---
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Copyright © 2016-2026. The Stdlib [Authors][stdlib-authors].
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[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean
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