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lomath\n\n[![npm version](https://badge.fury.io/js/lomath.svg)](http://badge.fury.io/js/lomath) [![Build Status](https://travis-ci.org/kengz/lomath.svg?branch=master)](https://travis-ci.org/kengz/lomath) [![Coverage Status](https://coveralls.io/repos/kengz/lomath/badge.svg?branch=master)](https://coveralls.io/r/kengz/lomath?branch=master) [![Dependency Status](https://gemnasium.com/kengz/lomath.svg)](https://gemnasium.com/kengz/lomath)\n\n[**Lomath**](https://github.com/kengz/lomath) is a tensorial math library extended from [`lodash`](https://lodash.com), with performant math functions applicable to tensors(multi-arrays). It also has a standalone plotting module that using `HighCharts` and `BrowserSync`.\n\nSee the [API documentation](http://kengz.github.io/lomath/). For the included functions, see the [lodash API documentation](https://lodash.com/docs).\n\n## Community\n\n[![Join the chat at https://gitter.im/kengz/lomath](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/kengz/lomath?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n## Installation\n\n**Installation**:\n\n```\nnpm install lomath\n```\n\n\nTo use the plotting module, do:\n\n```\n// in the terminal at your project's root, do:\ncd node_modules/lomath\nnpm install\n```\n\n## Usage\n\nSee the [API documentation](http://kengz.github.io/lomath/) and [lodash API documentation](https://lodash.com/docs) for example usage.\n\n**Lomath** comes with the latest version of [`lodash`](https://lodash.com), and more. Use it as you would normally use `lodash` or `underscore`, and it has many math functions familiar to users of the `R` language.\n\nFor clearer terminology, we call `tensors` the generic data structures:\n\n| data structure | terminology |\n|:---|:---|\n| `0` | scalar = rank-0 tensor |\n| `[1, 2, 3]` | vector = rank-1 tensor |\n| `[[1, 2], [3, 4]]` | matrix = rank-2 tensor |\n| ...and so on | rank-n tensor |\n\nYou can also extend `lomath` and define your own function that applies to tensors, using the function composition module such as `_.distribute, _.asso`, etc.\n\n## Plotting Module\n\n<img src=\"./docs/demo.gif\" alt=\"Sample plot\" width=\"100%\" style=\"display:inline-block\" />\n\n`lomath` comes with a standalone plotting module that using `HighCharts` and `BrowserSync`. Just run your JS file normally when you plot (example below), and it will automatically pull up a browser showing you the charts; you can save them!\n\n**Demo**: see `demo/demo.js` for magic.\n\n```\nvar _ = require('lomath');\n\n// use lodash as usual\nvar v = _.range(10);\n\n// lomath: generalized math functions applicable to multi-array\nvar vv = _.square(v);\n\nconsole.log(v);\nconsole.log(vv);\n\n// prints all the functions in lomath\n// console.log(_.functions(_));\n\n\n// data visualization: highcharts plotter\n// call contructor of highcharts plotter. Note the ()\nvar hc = _.hc();\n\n// first, list all you wish to plot.\nhc.plot(\n    [{\n        name: \"linear\",\n        data: v\n    }, {\n        name: \"square\",\n        data: vv\n    }],\n    \"Title 1\"\n    )\n\nhc.plot(\n    [{\n        name: \"log\",\n        data: _.log(v)\n    }],\n    \"Title 2\"\n    )\n\n//optionally you can use the original HighCharts plot options object by:\nhc.advPlot(HighChartsOptions);\n\n// Magic here! Finally, the command to render all the plots above.\n// Pulls up a browser (default to chrome for better support) with the charts.\n// calling hc.render(true) will autosave all plots to your downloads folder.\nhc.render();\n\n```\n\n\n## Roadmap\n- add timer tick tock\n- Multivar methods for ML: special dot, matrix mult, sum of expression using index, trace, det, inverse, logistic fn.\n- add aliases\n- add Randomjs engine\n- higher dimensional math\n- JSON object methods\n- more stats methods: sample, multidim probs, covarience, distributions\n- performance benchmark\n","maintainers":[{"name":"kengz","email":"kengzwl@gmail.com"}],"time":{"modified":"2022-06-19T14:04:17.664Z","created":"2015-06-09T21:04:30.317Z","0.0.1":"2015-06-09T21:04:30.317Z","0.0.2":"2015-06-10T13:48:02.560Z","0.0.3":"2015-06-10T13:55:31.408Z","0.0.4":"2015-06-10T14:40:17.308Z","0.0.5":"2015-06-10T14:44:02.045Z","0.0.6":"2015-06-14T18:45:08.694Z","0.0.7":"2015-06-21T00:17:16.866Z","0.0.8":"2015-06-21T01:11:44.629Z","0.1.0":"2015-06-23T21:30:33.160Z","0.1.1":"2015-06-25T04:21:52.137Z","0.1.2":"2015-06-25T18:24:31.485Z","0.1.3":"2015-07-01T01:33:58.891Z","0.1.4":"2015-07-01T02:50:26.061Z","0.1.5":"2015-07-01T03:41:32.713Z","0.1.6":"2015-07-10T02:07:29.345Z","0.1.7":"2015-07-14T18:51:20.947Z","0.1.8":"2015-07-14T19:00:03.180Z","0.2.0":"2015-07-20T03:31:12.982Z","0.2.1":"2015-07-21T04:59:46.946Z","0.2.2":"2015-08-05T19:55:13.261Z","0.2.3":"2015-09-18T18:56:52.630Z","0.2.4":"2015-12-24T01:42:11.971Z","0.2.5":"2016-01-14T03:22:47.289Z","0.2.6":"2016-01-14T04:17:11.371Z","0.2.7":"2016-01-19T19:44:09.873Z","0.2.8":"2016-01-30T06:11:52.423Z","0.2.9":"2016-01-31T05:05:27.907Z","0.3.0":"2016-01-31T05:12:10.647Z"},"homepage":"https://github.com/kengz/lomath","keywords":["lomath","lodash","math","data","analysis","analytics","visualization","plot","graph","chart","highcharts","live","preview","R","javascript","js"],"repository":{"type":"git","url":"git+https://github.com/kengz/lomath.git"},"author":{"name":"kengz","email":"kengzwl@gmail.com"},"bugs":{"url":"https://github.com/kengz/lomath/issues"},"readmeFilename":"README.md","license":"MIT","users":{"tsaidavid":true,"alexyan":true}}