Compute a count incrementally, ignoring NaN values.
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> Compute a count incrementally, ignoring NaN values.
``bash`
npm install @stdlib/stats-incr-nancount
`javascript`
var incrnancount = require( '@stdlib/stats-incr-nancount' );
#### incrnancount()
Returns an accumulator function which incrementally computes a count, ignoring NaN values.
`javascript`
var accumulator = incrnancount();
#### accumulator( \[x] )
If provided an input value x, the accumulator function returns an updated count. If not provided an input value x, the accumulator function returns the current count.
`javascript
var accumulator = incrnancount();
var count = accumulator( 2.0 );
// returns 1
count = accumulator( 1.0 );
// returns 2
count = accumulator( NaN );
// returns 2
count = accumulator( 3.0 );
// returns 3
count = accumulator();
// returns 3
`
`javascript
var randu = require( '@stdlib/random-base-randu' );
var incrnancount = require( '@stdlib/stats-incr-nancount' );
var accumulator;
var v;
var i;
// Initialize an accumulator:
accumulator = incrnancount();
// For each simulated datum, update the count...
for ( i = 0; i < 100; i++ ) {
if ( randu() < 0.2 ) {
v = NaN;
} else {
v = randu() * 100.0;
}
accumulator( v );
}
console.log( accumulator() );
`
*
- [@stdlib/stats-incr/nansum][@stdlib/stats/incr/nansum]: compute a sum incrementally, ignoring NaN values.
*
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
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---
See [LICENSE][stdlib-license].
Copyright © 2016-2026. The Stdlib [Authors][stdlib-authors].
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[umd]: https://github.com/umdjs/umd
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[umd-url]: https://github.com/stdlib-js/stats-incr-nancount/tree/umd
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[@stdlib/stats/incr/nansum]: https://www.npmjs.com/package/@stdlib/stats-incr-nansum