@stdlib/stats-incr-nansumabs2
v0.2.2
Published
Compute a sum of squared absolute values incrementally, ignoring NaN values.
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incrnansumabs2
Compute a sum of squared absolute values incrementally, ignoring
NaN
values.
The sum of squared absolute values is defined as
Installation
npm install @stdlib/stats-incr-nansumabs2
Usage
var incrnansumabs2 = require( '@stdlib/stats-incr-nansumabs2' );
incrnansumabs2()
Returns an accumulator function
which incrementally computes a sum of squared absolute values, ignoring NaN
values.
var accumulator = incrnansumabs2();
accumulator( [x] )
If provided an input value x
, the accumulator function returns an updated sum. If not provided an input value x
, the accumulator function returns the current sum.
var accumulator = incrnansumabs2();
var sum = accumulator( 2.0 );
// returns 4.0
sum = accumulator( -1.0 );
// returns 5.0
sum = accumulator( NaN );
// returns 5.0
sum = accumulator( -3.0 );
// returns 14.0
sum = accumulator();
// returns 14.0
Notes
- Input values are not type checked. If non-numeric inputs are possible, you are advised to type check and handle accordingly before passing the value to the accumulator function.
- For long running accumulations or accumulations of large numbers, care should be taken to prevent overflow.
Examples
var randu = require( '@stdlib/random-base-randu' );
var incrnansumabs2 = require( '@stdlib/stats-incr-nansumabs2' );
var accumulator;
var v;
var i;
// Initialize an accumulator:
accumulator = incrnansumabs2();
// For each simulated datum, update the sum...
for ( i = 0; i < 100; i++ ) {
v = ( randu()*100.0 ) - 50.0;
accumulator( v );
}
console.log( accumulator() );
See Also
@stdlib/stats-incr/nansum
: compute a sum incrementally, ignoring NaN values.@stdlib/stats-incr/nansumabs
: compute a sum of absolute values incrementally, ignoring NaN values.@stdlib/stats-incr/sumabs2
: compute a sum of squared absolute values incrementally.
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.