README.md

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itermeanabs

Compute the arithmetic mean of absolute values for all iterated values.

The arithmetic mean of absolute values is defined as

$$\mu = \frac{1}{n} \sum_{i=0}^{n-1} |x_i|$$

Usage

import itermeanabs from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-iter-meanabs@deno/mod.js';

itermeanabs( iterator )

Computes the arithmetic mean of absolute values for all iterated values.

import array2iterator from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-to-iterator@deno/mod.js';

var arr = array2iterator( [ 1.0, -2.0, -3.0, 4.0 ] );

var m = itermeanabs( arr );
// returns 2.5

Notes

• If an iterated value is non-numeric (including NaN), the returned iterator returns NaN. If non-numeric iterated values are possible, you are advised to provide an iterator which type checks and handles non-numeric values accordingly.

Examples

import runif from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-iter-uniform@deno/mod.js';
import itermeanabs from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-iter-meanabs@deno/mod.js';

// Create an iterator for generating uniformly distributed pseudorandom numbers:
var rand = runif( -10.0, 10.0, {
    'seed': 1234,
    'iter': 100
});

// Compute the arithmetic mean of absolute values:
var m = itermeanabs( rand );
// returns <number>

console.log( 'meanabs: %d.', m );

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See Also

• @stdlib/stats-iter/mean: compute the arithmetic mean over all iterated values.
• @stdlib/stats-iter/mmeanabs: create an iterator which iteratively computes a moving arithmetic mean of absolute values.
• @stdlib/stats-iter/sumabs: compute the sum of absolute values for all iterated values.

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Notice

This package is part of stdlib, a standard library 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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.