npm package: @stdlib/stats-incr-mminmax
Description: Compute a moving minimum and maximum incrementally.
Author: The Stdlib Authors
Latest version: 0.2.3

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<details>
  <summary>
    About stdlib...
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  <p>We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.</p>
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</details>

# incrmminmax

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Compute a moving minimum and maximum incrementally.

<section class="installation">

## Installation

```bash
npm install @stdlib/stats-incr-mminmax
```

</section>

<section class="usage">

## Usage

```javascript
var incrmminmax = require( '@stdlib/stats-incr-mminmax' );
```

#### incrmminmax( \[out,] window )

Returns an accumulator `function` which incrementally computes a moving minimum and maximum. The `window` parameter defines the number of values over which to compute the moving minimum and maximum.

```javascript
var accumulator = incrmminmax( 3 );
```

By default, the returned accumulator `function` returns the minimum and maximum as a two-element `array`. To avoid unnecessary memory allocation, the function supports providing an output (destination) object.

```javascript
var Float64Array = require( '@stdlib/array-float64' );

var accumulator = incrmminmax( new Float64Array( 2 ), 3 );
```

#### accumulator( \[x] )

If provided an input value `x`, the accumulator function returns updated minimum and maximum values. If not provided an input value `x`, the accumulator function returns the current minimum and maximum values.

```javascript
var accumulator = incrmminmax( 3 );

var mm = accumulator();
// returns null

// Fill the window...
mm = accumulator( 2.0 ); // [2.0]
// returns [ 2.0, 2.0 ]

mm = accumulator( 1.0 ); // [2.0, 1.0]
// returns [ 1.0, 2.0 ]

mm = accumulator( 3.0 ); // [2.0, 1.0, 3.0]
// returns [ 1.0, 3.0 ]

// Window begins sliding...
mm = accumulator( -7.0 ); // [1.0, 3.0, -7.0]
// returns [ -7.0, 3.0 ]

mm = accumulator( -5.0 ); // [3.0, -7.0, -5.0]
// returns [ -7.0, 3.0 ]

mm = accumulator();
// returns [ -7.0, 3.0 ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

-   Input values are **not** type checked. If provided `NaN`, the accumulated minimum and maximum values are `NaN` for **at least** `W-1` future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
-   As `W` values are needed to fill the window buffer, the first `W-1` returned minimum and maximum values are calculated from smaller sample sizes. Until the window is full, each returned minimum and maximum is calculated from all provided values.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var randu = require( '@stdlib/random-base-randu' );
var incrmminmax = require( '@stdlib/stats-incr-mminmax' );

var accumulator;
var v;
var i;

// Initialize an accumulator:
accumulator = incrmminmax( 5 );

// For each simulated datum, update the moving minimum and maximum...
for ( i = 0; i < 100; i++ ) {
    v = randu() * 100.0;
    accumulator( v );
}
console.log( accumulator() );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

-   <span class="package-name">[`@stdlib/stats-incr/max`][@stdlib/stats/incr/max]</span><span class="delimiter">: </span><span class="description">compute a maximum value incrementally.</span>
-   <span class="package-name">[`@stdlib/stats-incr/min`][@stdlib/stats/incr/min]</span><span class="delimiter">: </span><span class="description">compute a minimum value incrementally.</span>
-   <span class="package-name">[`@stdlib/stats-incr/mmax`][@stdlib/stats/incr/mmax]</span><span class="delimiter">: </span><span class="description">compute a moving maximum incrementally.</span>
-   <span class="package-name">[`@stdlib/stats-incr/minmax`][@stdlib/stats/incr/minmax]</span><span class="delimiter">: </span><span class="description">compute a minimum and maximum incrementally.</span>
-   <span class="package-name">[`@stdlib/stats-incr/mmin`][@stdlib/stats/incr/mmin]</span><span class="delimiter">: </span><span class="description">compute a moving minimum incrementally.</span>
-   <span class="package-name">[`@stdlib/stats-incr/mrange`][@stdlib/stats/incr/mrange]</span><span class="delimiter">: </span><span class="description">compute a moving range incrementally.</span>

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## Notice

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].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

<!-- /.stdlib -->

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[umd]: https://github.com/umdjs/umd
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<!-- <related-links> -->

[@stdlib/stats/incr/max]: https://www.npmjs.com/package/@stdlib/stats-incr-max

[@stdlib/stats/incr/min]: https://www.npmjs.com/package/@stdlib/stats-incr-min

[@stdlib/stats/incr/mmax]: https://www.npmjs.com/package/@stdlib/stats-incr-mmax

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[@stdlib/stats/incr/mmin]: https://www.npmjs.com/package/@stdlib/stats-incr-mmin

[@stdlib/stats/incr/mrange]: https://www.npmjs.com/package/@stdlib/stats-incr-mrange

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</section>

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