@stdlib/stats-iter-cugmean
v0.2.2
Published
Create an iterator which iteratively computes a cumulative geometric mean.
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itercugmean
Create an iterator which iteratively computes a cumulative geometric mean.
The geometric mean is defined as the nth root of a product of n numbers.
Installation
npm install @stdlib/stats-iter-cugmean
Usage
var itercugmean = require( '@stdlib/stats-iter-cugmean' );
itercugmean( iterator )
Returns an iterator which iteratively computes a cumulative geometric mean.
var array2iterator = require( '@stdlib/array-to-iterator' );
var arr = array2iterator( [ 2.0, 1.0, 3.0, 7.0, 5.0 ] );
var it = itercugmean( arr );
var v = it.next().value;
// returns 2.0
v = it.next().value;
// returns ~1.41
v = it.next().value;
// returns ~1.82
v = it.next().value;
// returns ~2.55
v = it.next().value;
// returns ~2.91
Notes
- If an iterated value is non-numeric (including
NaN
) or negative, the function returnsNaN
for all future iterations. If non-numeric and/or negative iterated values are possible, you are advised to provide aniterator
which type checks and handles such values accordingly.
Examples
var runif = require( '@stdlib/random-iter-uniform' );
var itercugmean = require( '@stdlib/stats-iter-cugmean' );
// Create an iterator for generating uniformly distributed pseudorandom numbers:
var rand = runif( 0.0, 10.0, {
'seed': 1234,
'iter': 100
});
// Create an iterator for iteratively computing a cumulative geometric mean:
var it = itercugmean( rand );
// Perform manual iteration...
var v;
while ( true ) {
v = it.next();
if ( typeof v.value === 'number' ) {
console.log( 'gmean: %d', v.value );
}
if ( v.done ) {
break;
}
}
See Also
@stdlib/stats-iter/cuhmean
: create an iterator which iteratively computes a cumulative harmonic mean.@stdlib/stats-iter/cumean
: create an iterator which iteratively computes a cumulative arithmetic mean.
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.