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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# ranks\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> Compute ranks for values of an array-like object.\n\n<section class=\"installation\">\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-ranks\n```\n\n</section>\n\n<section class=\"usage\">\n\n## Usage\n\n```javascript\nvar ranks = require( '@stdlib/stats-ranks' );\n```\n\n#### ranks( arr\\[, opts] )\n\nReturns the sample ranks of the elements in `arr`, which can be either an [`array`][mdn-array] or [`typed array`][mdn-typed-array].\n\n```javascript\nvar arr = [ 1.1, 2.0, 3.5, 0.0, 2.4 ];\nvar out = ranks( arr );\n// returns [ 2, 3, 5, 1, 4 ]\n\n// Ties are averaged:\narr = [ 2, 2, 1, 4, 3 ];\nout = ranks( arr );\n// returns [ 2.5, 2.5, 1, 5, 4 ];\n\n// Missing values are placed last:\narr = [ null, 2, 2, 1, 4, 3, NaN, NaN ];\nout = ranks( arr );\n// returns [ 6, 2.5, 2.5, 1, 5, 4, 7, 8 ]\n```\n\nThe function accepts the following options:\n\n-   **method**: `string` indicating how ties are handled. Can be one of the following values: `'average'`, `'min'`, `'max'`, `'ordinal'` and `'dense'`.  Default: `'average'`.\n-   **missing**: `string` specifying how missing values are handled. Must be either `'last'`, `'first'` or `'remove'`. Default: `'last'`.\n-   **encoding**: `array` holding all values which will be regarded as missing values. Default: `[ NaN, null]`.\n\nWhen all elements of the `array` are different, the ranks are uniquely determined. When there are equal elements (called _ties_), the `method` option determines how they are handled. The default, `'average'`, replace the ranks of the ties by their mean. Other possible options are `'min'` and `'max'`, which replace the ranks of the ties by their minimum and maximum, respectively. `'dense'` works like `'min'`, with the difference that the next highest element after a tie is assigned the next smallest integer. Finally, `ordinal` gives each element in `arr` a distinct rank, according to the position they appear in.\n\n```javascript\nvar data = [ 2, 2, 1, 4, 3 ];\n\n// Max method:\nvar out = ranks( data, {\n    'method': 'max'\n});\n// returns [ 3, 3, 1, 5, 4 ]\n\n// Min method:\nout = ranks( data, {\n    'method': 'min'\n});\n// returns [ 2, 2, 1, 5, 4 ]\n\n// Ordinal method\nout = ranks( data, {\n    'method': 'ordinal'\n});\n// returns [ 2, 3, 1, 5, 4 ]\n\n// Dense method:\nout = [ 2, 2, 1, 4, 3 ];\nout = ranks( data, {\n    'method': 'dense'\n});\n// returns [ 2, 2, 1, 4, 3 ]\n```\n\nThe `missing` option is used to specify how to handle missing data. By default, `NaN` or `null` are treated as missing values. `'last'` specifies that missing values are placed last, `'first'` that they are assigned the lowest ranks and `'remove'` means that they are removed from the array before the ranks are calculated.\n\n```javascript\nvar data = [ NaN, 2, 2, 1, 4, 3, null, null ];\n\nvar out = ranks( data, {\n    'missing': 'first'\n});\n// returns [ 1, 5.5, 5.5, 4, 8, 7, 2, 3 ]\n\nout = ranks( data, {\n    'missing': 'last'\n});\n// returns [ 6, 2.5, 2.5, 1, 5, 4, 7, 8 ]\n\nout = ranks( data, {\n    'missing': 'remove'\n});\n// returns [ 2.5, 2.5, 1, 5, 4 ]\n```\n\nCustom encoding for missing values is supported via the `encoding` option, which allows to supply the function with an `array` of values which should be treated as missing.\n\n```javascript\nvar Int32Array = require( '@stdlib/array-int32' );\n\nvar data = new Int32Array( [ 2, 1, -999, 3, 4 ] );\n\nvar out = ranks( data, {\n    'encoding': [ -999 ]\n});\n// returns [ 2, 1, 5, 3, 4 ]\n```\n\n</section>\n\n<!-- /.usage -->\n\n<section class=\"examples\">\n\n## Examples\n\n<!-- eslint no-undef: \"error\" -->\n\n```javascript\nvar discreteUniform = require( '@stdlib/random-array-discrete-uniform' );\nvar join = require( '@stdlib/array-base-join' );\nvar ranks = require( '@stdlib/stats-ranks' );\n\n// Plain array:\nvar data = discreteUniform( 0, 10, {\n    'dtype': 'generic'\n});\n\nvar out = ranks( data );\nconsole.log( 'data: [ %s ]', join( data, ', ' ) );\nconsole.log( 'ranks: [ %s ]', join( out, ', ' ) );\n\n// Typed array:\ndata = discreteUniform( 0, 10, {\n    'dtype': 'int32'\n});\n\nout = ranks( data );\nconsole.log( 'data: [ %s ]', join( data, ', ' ) );\nconsole.log( 'ranks: [ %s ]', join( out, ', ' ) );\n```\n\n</section>\n\n<!-- /.examples -->\n\n<section class=\"references\">\n\n</section>\n\n<!-- /.references -->\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</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; 2016-2026. 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-ranks.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-ranks\n\n[test-image]: https://github.com/stdlib-js/stats-ranks/actions/workflows/test.yml/badge.svg?branch=v0.2.3\n[test-url]: https://github.com/stdlib-js/stats-ranks/actions/workflows/test.yml?query=branch:v0.2.3\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-ranks/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-ranks?branch=main\n\n<!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-ranks.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-ranks/main\n\n-->\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\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-ranks/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-ranks/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-ranks/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-ranks/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-ranks/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-ranks/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-ranks/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-ranks/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/Typed_arrays\n\n</section>\n\n<!-- /.links -->\n","readmeFilename":"README.md"}