@stdlib/stats-incr-nansumabs

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incrnansumabs

Compute a sum of absolute values incrementally, ignoring NaN values.

The sum of absolute values is defined as

Installation

npm install @stdlib/stats-incr-nansumabs

Usage

var incrnansumabs = require( '@stdlib/stats-incr-nansumabs' );

incrnansumabs()

Returns an accumulator function which incrementally computes a sum of absolute values, ignoring NaN values.

var accumulator = incrnansumabs();

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 = incrnansumabs();

var sum = accumulator( 2.0 );
// returns 2.0

sum = accumulator( -1.0 );
// returns 3.0

sum = accumulator( NaN );
// returns 3.0

sum = accumulator( -3.0 );
// returns 6.0

sum = accumulator();
// returns 6.0

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 incrnansumabs = require( '@stdlib/stats-incr-nansumabs' );

var accumulator;
var v;
var i;

// Initialize an accumulator:
accumulator = incrnansumabs();

// For each simulated datum, update the sum...
for ( i = 0; i < 100; i++ ) {
    if ( randu() < 0.2 ) {
        v = NaN;
    } else {
        v = ( randu()*100.0 ) - 50.0;
    }
    accumulator( v );
}
console.log( accumulator() );

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See Also

• @stdlib/stats-incr/nansum: compute a sum incrementally, ignoring NaN values.
• @stdlib/stats-incr/nansumabs2: compute a sum of squared absolute values incrementally, ignoring NaN values.
• @stdlib/stats-incr/sumabs: compute a sum of absolute values incrementally.

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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

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