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file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n-->\n\n\n<details>\n  <summary>\n    About stdlib...\n  </summary>\n  <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>\n  <p>The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.</p>\n  <p>When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.</p>\n  <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href=\"https://github.com/stdlib-js/stdlib\">GitHub</a>, and please consider <a href=\"https://opencollective.com/stdlib\">financially supporting stdlib</a>. We greatly appreciate your continued support!</p>\n</details>\n\n# mediansorted\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->\n\n> Calculate the median value of a sorted strided array.\n\n<section class=\"intro\">\n\n</section>\n\n<!-- /.intro -->\n\n<section class=\"installation\">\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-base-mediansorted\n```\n\n</section>\n\n<section class=\"usage\">\n\n## Usage\n\n```javascript\nvar mediansorted = require( '@stdlib/stats-base-mediansorted' );\n```\n\n#### mediansorted( N, x, stride )\n\nComputes the median value of a sorted strided array `x`.\n\n```javascript\nvar x = [ 1.0, 2.0, 3.0 ];\nvar v = mediansorted( x.length, x, 1 );\n// returns 2.0\n\nx = [ 3.0, 2.0, 1.0 ];\nv = mediansorted( x.length, x, 1 );\n// returns 2.0\n```\n\nThe function has the following parameters:\n\n-   **N**: number of indexed elements.\n-   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].\n-   **stride**: index increment for `x`.\n\nThe `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the median value of every other element in `x`,\n\n```javascript\nvar floor = require( '@stdlib/math-base-special-floor' );\n\nvar x = [ 1.0, 2.0, 2.0, -7.0, 3.0, 3.0, 4.0, 2.0 ];\nvar N = floor( x.length / 2 );\n\nvar v = mediansorted( N, x, 2 );\n// returns 2.5\n```\n\nNote that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.\n\n<!-- eslint-disable stdlib/capitalized-comments -->\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar floor = require( '@stdlib/math-base-special-floor' );\n\nvar x0 = new Float64Array( [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\nvar N = floor( x0.length / 2 );\n\nvar v = mediansorted( N, x1, 2 );\n// returns 2.0\n```\n\n#### mediansorted.ndarray( N, x, stride, offset )\n\nComputes the median value of a sorted strided array using alternative indexing semantics.\n\n```javascript\nvar x = [ 1.0, 2.0, 3.0 ];\n\nvar v = mediansorted.ndarray( x.length, x, 1, 0 );\n// returns 2.0\n```\n\nThe function has the following additional parameters:\n\n-   **offset**: starting index for `x`.\n\nWhile [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the median value for every other value in `x` starting from the second value\n\n```javascript\nvar floor = require( '@stdlib/math-base-special-floor' );\n\nvar x = [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ];\nvar N = floor( x.length / 2 );\n\nvar v = mediansorted.ndarray( N, x, 2, 1 );\n// returns 2.0\n```\n\n</section>\n\n<!-- /.usage -->\n\n<section class=\"notes\">\n\n## Notes\n\n-   If `N <= 0`, both functions return `NaN`.\n-   The input strided array must be sorted in either **strictly** ascending or descending order.\n\n</section>\n\n<!-- /.notes -->\n\n<section class=\"examples\">\n\n## Examples\n\n<!-- eslint no-undef: \"error\" -->\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar mediansorted = require( '@stdlib/stats-base-mediansorted' );\n\nvar x;\nvar i;\n\nx = new Float64Array( 10 );\nfor ( i = 0; i < x.length; i++ ) {\n    x[ i ] = i - 5.0;\n}\nconsole.log( x );\n\nvar v = mediansorted( x.length, x, 1 );\nconsole.log( v );\n```\n\n</section>\n\n<!-- /.examples -->\n\n<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->\n\n<section class=\"related\">\n\n* * *\n\n## See Also\n\n-   <span class=\"package-name\">[`@stdlib/stats-base/dmediansorted`][@stdlib/stats/base/dmediansorted]</span><span class=\"delimiter\">: </span><span class=\"description\">calculate the median value of a sorted double-precision floating-point strided array.</span>\n-   <span class=\"package-name\">[`@stdlib/stats-base/mean`][@stdlib/stats/base/mean]</span><span class=\"delimiter\">: </span><span class=\"description\">calculate the arithmetic mean of a strided array.</span>\n-   <span class=\"package-name\">[`@stdlib/stats-base/smediansorted`][@stdlib/stats/base/smediansorted]</span><span class=\"delimiter\">: </span><span class=\"description\">calculate the median value of a sorted single-precision floating-point strided array.</span>\n\n</section>\n\n<!-- /.related -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n\n<section class=\"main-repo\" >\n\n* * *\n\n## Notice\n\nThis 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.\n\nFor 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].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright &copy; 2016-2024. The Stdlib [Authors][stdlib-authors].\n\n</section>\n\n<!-- /.stdlib -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n<section class=\"links\">\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-mediansorted.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-base-mediansorted\n\n[test-image]: https://github.com/stdlib-js/stats-base-mediansorted/actions/workflows/test.yml/badge.svg?branch=v0.2.2\n[test-url]: https://github.com/stdlib-js/stats-base-mediansorted/actions/workflows/test.yml?query=branch:v0.2.2\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-mediansorted/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-mediansorted?branch=main\n\n<!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-base-mediansorted.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-base-mediansorted/main\n\n-->\n\n[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg\n[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/stats-base-mediansorted/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-base-mediansorted/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-base-mediansorted/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-base-mediansorted/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-base-mediansorted/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-base-mediansorted/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-base-mediansorted/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-mediansorted/main/LICENSE\n\n[mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array\n\n[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray\n\n<!-- <related-links> -->\n\n[@stdlib/stats/base/dmediansorted]: https://www.npmjs.com/package/@stdlib/stats-base-dmediansorted\n\n[@stdlib/stats/base/mean]: https://www.npmjs.com/package/@stdlib/stats-base-mean\n\n[@stdlib/stats/base/smediansorted]: https://www.npmjs.com/package/@stdlib/stats-base-smediansorted\n\n<!-- </related-links> -->\n\n</section>\n\n<!-- /.links -->\n","readmeFilename":"README.md"}