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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 varianceXn = require( './data-varianceXn.js' ); // ### stdev /** * * Comuptes the sample standard deviation of numbers contained in the `x` array. * The computations are inspired by the method proposed by [B. P. Welford](http://dx.doi.org/10.1080/00401706.1962.10490022). * * @memberof data * @param {array} x array containing 1 or more elements. * @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. * @return {number} standard deviation of sample. * @example * stdev( [ 2, 3, 5, 7 ] ) * // returns 2.217355782608345 * stdev( [ { x: 2 }, { x: 3 }, { x: 5 }, { x: 7 } ], 'x' ) * // returns 2.217355782608345 */ var stdev = function ( x, accessor ) { var vXn = varianceXn( x, accessor ); return ( vXn.size > 1 ) ? Math.sqrt( vXn.varianceXn / ( vXn.size - 1 ) ) : 0; }; // stdev() module.exports = stdev;