@stdlib/stats-iter-meanabs
v0.2.2
Published
Compute the arithmetic mean of absolute values for all iterated values.
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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
Installation
npm install @stdlib/stats-iter-meanabs
Usage
var itermeanabs = require( '@stdlib/stats-iter-meanabs' );
itermeanabs( iterator )
Computes the arithmetic mean of 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 = itermeanabs( arr );
// returns 2.5
Notes
- If an iterated value is non-numeric (including
NaN
), the returnediterator
returnsNaN
. If non-numeric iterated values are possible, you are advised to provide aniterator
which type checks and handles non-numeric values accordingly.
Examples
var runif = require( '@stdlib/random-iter-uniform' );
var itermeanabs = require( '@stdlib/stats-iter-meanabs' );
// 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 );
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.
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 © 2016-2024. The Stdlib Authors.