npm package: @stdlib/stats-array-mskmin
Description: Calculate the minimum value of an array according to a mask.
Author: The Stdlib Authors
Latest version: 0.1.1

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<details>
  <summary>
    About stdlib...
  </summary>
  <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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# mskmin

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

> Calculate the minimum value of an array according to a mask.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/stats-array-mskmin
```

</section>

<section class="usage">

## Usage

```javascript
var mskmin = require( '@stdlib/stats-array-mskmin' );
```

#### mskmin( x, mask )

Computes the minimum value of an array according to a mask.

```javascript
var x = [ 1.0, -2.0, -4.0, 2.0 ];
var mask = [ 0, 0, 1, 0 ];

var v = mskmin( x, mask );
// returns -2.0
```

The function has the following parameters:

-   **x**: input array.
-   **mask**: mask array. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.

</section>

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<section class="notes">

## Notes

-   If provided an empty array, the function returns `NaN`.
-   The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array-base/accessor`][@stdlib/array/base/accessor]).

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var mskmin = require( '@stdlib/stats-array-mskmin' );

var x = uniform( 10, -50.0, 50.0, {
    'dtype': 'float64'
});
console.log( x );

var mask = bernoulli( x.length, 0.2, {
    'dtype': 'uint8'
});
console.log( mask );

var v = mskmin( x, mask );
console.log( v );
```

</section>

<!-- /.examples -->

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<section class="related">

</section>

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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>

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<section class="links">

[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-array-mskmin.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-array-mskmin

[test-image]: https://github.com/stdlib-js/stats-array-mskmin/actions/workflows/test.yml/badge.svg?branch=v0.1.1
[test-url]: https://github.com/stdlib-js/stats-array-mskmin/actions/workflows/test.yml?query=branch:v0.1.1

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-array-mskmin/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-array-mskmin?branch=main

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[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/stats-array-mskmin/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-array-mskmin/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-array-mskmin/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-array-mskmin/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-array-mskmin/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-array-mskmin/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-array-mskmin/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-array-mskmin/main/LICENSE

[@stdlib/array/base/accessor]: https://www.npmjs.com/package/@stdlib/array-base-accessor

</section>

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