'use strict' export function factory (type, config, load, typed) { const sqrt = load(require('../arithmetic/sqrt')) const variance = load(require('../statistics/var')) /** * Compute the standard deviation of a matrix or a list with values. * The standard deviations is defined as the square root of the variance: * `std(A) = sqrt(var(A))`. * In case of a (multi dimensional) array or matrix, the standard deviation * over all elements will be calculated. * * Optionally, the type of normalization can be specified as second * parameter. The parameter `normalization` can be one of the following values: * * - 'unbiased' (default) The sum of squared errors is divided by (n - 1) * - 'uncorrected' The sum of squared errors is divided by n * - 'biased' The sum of squared errors is divided by (n + 1) * * Syntax: * * math.std(a, b, c, ...) * math.std(A) * math.std(A, normalization) * * Examples: * * math.std(2, 4, 6) // returns 2 * math.std([2, 4, 6, 8]) // returns 2.581988897471611 * math.std([2, 4, 6, 8], 'uncorrected') // returns 2.23606797749979 * math.std([2, 4, 6, 8], 'biased') // returns 2 * * math.std([[1, 2, 3], [4, 5, 6]]) // returns 1.8708286933869707 * * See also: * * mean, median, max, min, prod, sum, var * * @param {Array | Matrix} array * A single matrix or or multiple scalar values * @param {string} [normalization='unbiased'] * Determines how to normalize the variance. * Choose 'unbiased' (default), 'uncorrected', or 'biased'. * @return {*} The standard deviation */ const std = typed('std', { // std([a, b, c, d, ...]) 'Array | Matrix': _std, // std([a, b, c, d, ...], normalization) 'Array | Matrix, string': _std, // std(a, b, c, d, ...) '...': function (args) { return _std(args) } }) std.toTex = undefined // use default template return std function _std (array, normalization) { if (array.length === 0) { throw new SyntaxError('Function std requires one or more parameters (0 provided)') } try { return sqrt(variance.apply(null, arguments)) } catch (err) { if (err instanceof TypeError && err.message.indexOf(' var') !== -1) { throw new TypeError(err.message.replace(' var', ' std')) } else { throw err } } } } export const name = 'std'