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wink-statistics

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Fast and Numerically Stable Statistical Analysis Utilities

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// wink-statistics // Fast and Numerically Stable Statistical Analysis Utilities. // // Copyright (C) GRAYPE Systems Private Limited // // This file is part of “wink-statistics”. // // Permission is hereby granted, free of charge, to any person obtaining a // copy of this software and associated documentation files (the "Software"), // to deal in the Software without restriction, including without limitation // the rights to use, copy, modify, merge, publish, distribute, sublicense, // and/or sell copies of the Software, and to permit persons to whom the // Software is furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included // in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS // OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL // THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER // DEALINGS IN THE SOFTWARE. // ## data // Load accessor. var value = require( './accessor.js' ); // Load percentile. var percentile = require( './data-percentile.js' ); // ### fiveNumSummary /** * * Returns the [five number summary](https://en.wikipedia.org/wiki/Five-number_summary) from the `sortedData`. * * @memberof data * @param {array} sortedData sorted in ascending order of value. * @param {(string|number|function)} [accessor=undefined] required when elements of * `x` are objects or arrays instead of numbers. * For objects, use key (string) to access the value; in case of arrays, use * index (number) to access the value; or it could be a function * that extracts the value from the element passed to it. * @returns {number} 5-number summary consisting of `min`, `q1`, `median`, `q3`, * `max` along with `iqr`, `range`, and `size`. * @example * fiveNumSummary( [ 1, 1, 2, 2, 3, 3, 4, 4 ] ); * // returns { * // q1: 1.25, median: 2.5, q3: 3.75, iqr: 2.5, * // size: 8, min: 1, max: 4, range: 3 * // } */ var fiveNumSummary = function ( sortedData, accessor ) { var fns = Object.create( null ); fns.q1 = percentile( sortedData, 0.25, accessor ); fns.median = percentile( sortedData, 0.50, accessor ); fns.q3 = percentile( sortedData, 0.75, accessor ); fns.iqr = fns.q3 - fns.q1; fns.size = sortedData.length; fns.min = value( sortedData[ 0 ], accessor ); fns.max = value( sortedData[ fns.size - 1 ], accessor ); fns.range = fns.max - fns.min; return ( fns ); }; // fiveNumSummary() module.exports = fiveNumSummary;