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Calculate the minimum value of an array according to a mask.
To use in Observable,
mskmin = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-array-mskmin@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var mskmin = require( 'path/to/vendor/umd/stats-array-mskmin/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-array-mskmin@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.mskmin;
})();
</script>Computes the minimum value of an array according to a mask.
var x = [ 1.0, -2.0, -4.0, 2.0 ];
var mask = [ 0, 0, 1, 0 ];
var v = mskmin( x, mask );
// returns -2.0The function has the following parameters:
- x: input array.
- mask: mask array. If a
maskarray element is0, the corresponding element inxis considered valid and included in computation. If amaskarray element is1, the corresponding element inxis considered invalid/missing and excluded from computation.
- 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).
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-array-uniform@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-array-bernoulli@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-array-mskmin@umd/browser.js"></script>
<script type="text/javascript">
(function () {
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 );
})();
</script>
</body>
</html>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.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.
