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Create an iterator which iteratively computes a moving sum of squared absolute values.
For a window of size W
, the moving sum of squared absolute values is defined as
npm install @stdlib/stats-iter-msumabs2
var itermsumabs2 = require( '@stdlib/stats-iter-msumabs2' );
Returns an iterator which iteratively computes a moving sum of squared absolute values. The W
parameter defines the number of iterated values over which to compute the moving sum.
var array2iterator = require( '@stdlib/array-to-iterator' );
var arr = array2iterator( [ 2.0, 1.0, 3.0, -7.0, -5.0 ] );
var it = itermsumabs2( arr, 3 );
// Fill the window...
var s = it.next().value; // [2.0]
// returns 4.0
s = it.next().value; // [2.0, 1.0]
// returns 5.0
s = it.next().value; // [2.0, 1.0, 3.0]
// returns 14.0
// Window begins sliding...
s = it.next().value; // [1.0, 3.0, -7.0]
// returns 59.0
s = it.next().value; // [3.0, -7.0, -5.0]
// returns 83.0
- If an iterated value is non-numeric (including
NaN
), the function returnsNaN
for at leastW-1
future invocations. If non-numeric iterated values are possible, you are advised to provide aniterator
which type checks and handles non-numeric values accordingly. - As
W
values are needed to fill the window buffer, the firstW-1
returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all previously iterated values.
var runif = require( '@stdlib/random-iter-uniform' );
var itermsumabs2 = require( '@stdlib/stats-iter-msumabs2' );
// Create an iterator for generating uniformly distributed pseudorandom numbers:
var rand = runif( -10.0, 10.0, {
'seed': 1234,
'iter': 100
});
// Create an iterator for iteratively computing a moving sum of squared absolute values:
var it = itermsumabs2( rand, 3 );
// Perform manual iteration...
var v;
while ( true ) {
v = it.next();
if ( v.done ) {
break;
}
if ( typeof v.value === 'number' ) {
console.log( 'sumabs2: %d', v.value );
}
}
-
@stdlib/stats-iter/mmeanabs2
: create an iterator which iteratively computes a moving arithmetic mean of squared absolute values. -
@stdlib/stats-iter/msumabs
: create an iterator which iteratively computes a moving sum of absolute values. -
@stdlib/stats-iter/sumabs
: compute the sum of absolute values for all iterated values. -
@stdlib/stats-iter/sumabs2
: compute the sum of squared absolute values for all iterated values.
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.
See LICENSE.
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