{"id":25859202,"url":"https://github.com/bikossor/array-means","last_synced_at":"2025-03-01T20:39:49.215Z","repository":{"id":33207041,"uuid":"155009757","full_name":"Bikossor/array-means","owner":"Bikossor","description":"Calculates various averages of an 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align=\"center\"\u003e\n  \u003ch1\u003earray-means\u003c/h1\u003e\n  \u003cp\u003eCalculates various averages of an array\u003c/p\u003e\n  \u003c!-- Badges --\u003e\n  \u003ca href=\"https://www.codacy.com/app/Bikossor/array-means?utm_source=github.com\u0026utm_medium=referral\u0026utm_content=Bikossor/array-means\u0026utm_campaign=Badge_Grade\"\u003e\n    \u003cimg src=\"https://api.codacy.com/project/badge/Grade/57813ca8a5d943ecabbe8decc36d04da\" /\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/Bikossor/array-means/actions/workflows/node.js.yml\"\u003e\n    \u003cimg src=\"https://github.com/Bikossor/Rudus/actions/workflows/node.js.yml/badge.svg\" /\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://codecov.io/gh/Bikossor/array-means\"\u003e\n    \u003cimg src=\"https://codecov.io/gh/Bikossor/array-means/branch/develop/graph/badge.svg\" /\u003e\n  \u003c/a\u003e\n  \u003cimg src=\"https://img.shields.io/bundlephobia/minzip/array-means.svg\" /\u003e\n  \u003cimg src=\"https://img.shields.io/npm/dm/array-means.svg\" /\u003e\n  \u003cimg src=\"https://img.shields.io/github/issues/bikossor/array-means.svg\" /\u003e\n  \u003cimg src=\"https://img.shields.io/github/issues-closed/bikossor/array-means.svg\" /\u003e\n  \u003cimg src=\"https://img.shields.io/github/license/bikossor/array-means.svg\" /\u003e\n\u003c/div\u003e\n\n## Installation\n\nFor `Node.js` run the following command:\n\n```sh\nnpm i array-means\n```\n\nFor `Yarn` run the following command:\n\n```sh\nyarn add array-means\n```\n\n### Browser environment\n\nDownload the latest version of array-means [here](https://github.com/Bikossor/array-means/releases/latest).\n\n## Usage\n\n### Node.js environment\n\n```javascript\nconst {\n  arithmetic,\n  cubic,\n  geometric,\n  harmonic,\n  quadratic,\n  median,\n} = require(\"array-means\");\n```\n\n### Arithmetic mean\n\n[Wikipedia article of Arithmetic mean](https://en.wikipedia.org/wiki/Arithmetic_mean)\n\n```javascript\nvar amean = arithmetic([10, 25, 50]);\n// amean =\u003e 28.333333333333332\n```\n\n### Quadratic mean\n\n[Wikipedia article of Quadratic mean](https://en.wikipedia.org/wiki/Quadratic_mean)\n\n```javascript\nvar qmean = quadratic([10, 25, 50]);\n// qmean =\u003e 32.78719262151\n```\n\n### Harmonic mean\n\n[Wikipedia article of Harmonic mean](https://en.wikipedia.org/wiki/Harmonic_mean)\n\n```javascript\nvar hmean = harmonic([10, 25, 50]);\n// hmean =\u003e 18.75\n```\n\n### Geometric mean\n\n[Wikipedia article of Geometric mean](https://en.wikipedia.org/wiki/Geometric_mean)\n\n```javascript\nvar gmean = geometric([10, 25, 50]);\n// gmean =\u003e 23.20794417\n```\n\n### Cubic mean\n\n[Wikipedia article of Cubic mean](https://en.wikipedia.org/wiki/Cubic_mean)\n\n```javascript\nvar cmean = cubic([10, 25, 50]);\n// cmean =\u003e 36.14150411\n```\n\n### Median\n\n[Wikipedia article of Median](https://en.wikipedia.org/wiki/Median)\n\n```javascript\nvar medianResult = median([10, 25, 50]);\n// medianResult =\u003e 25\n```\n\n## Benchmarks\n\n| Algorithm  | Operations per second | Tolerance |\n| :--------- | :-------------------- | :-------- |\n| arithmetic | 90,273,949 ops/sec    | ±0.40%    |\n| quadratic  | 45,955,194 ops/sec    | ±1.35%    |\n| harmonic   | 142,704,156 ops/sec   | ±0.33%    |\n| geometric  | 116,823,047 ops/sec   | ±0.20%    |\n| cubic      | 786,168 ops/sec       | ±0.12%    |\n| median     | 3,392,087 ops/sec     | ±0.21%    |\n\n_Tested on an AMD Ryzen 7 5800X using Node.js v16.13.2 on Windows 10 (21H1)_\n\n## Contributing\n\nPlease read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.\n\n## Versioning\n\nWe use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags](https://github.com/bikossor/array-means/tags) on this repository.\n\n## Authors\n\n- [Bikossor](https://github.com/Bikossor)\n- [Dergeraetwirdniemuede](https://github.com/Dergeraetwirdniemuede)\n\nSee also the list of [contributors](https://github.com/bikossor/array-means/contributors) who participated in this project.\n\n## License\n\nThis project is licensed under the MIT License - see [here](LICENSE) for more details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbikossor%2Farray-means","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbikossor%2Farray-means","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbikossor%2Farray-means/lists"}