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itermeanabs2

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

The arithmetic mean of squared absolute values is defined as

$$m = \frac{1}{n} \sum_{i=0}^{n-1} x_i^2$$

Installation

npm install @stdlib/stats-iter-meanabs2

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var itermeanabs2 = require( '@stdlib/stats-iter-meanabs2' );

itermeanabs2( iterator )

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

var array2iterator = require( '@stdlib/array-to-iterator' );

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

var m = itermeanabs2( arr );
// returns 7.5

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

var runif = require( '@stdlib/random-iter-uniform' );
var itermeanabs2 = require( '@stdlib/stats-iter-meanabs2' );

// 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 squared absolute values:
var m = itermeanabs2( rand );
// returns <number>

console.log( 'meanabs2: %d.', m );

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See Also

• @stdlib/stats-iter/mean: compute the arithmetic mean over all iterated values.
• @stdlib/stats-iter/meanabs: compute the arithmetic mean of absolute values for all iterated values.
• @stdlib/stats-iter/mmeanabs2: create an iterator which iteratively computes a moving arithmetic mean of squared absolute values.
• @stdlib/stats-iter/sumabs2: compute the sum of squared absolute values for all iterated values.

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.