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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 1013x 1013x 1013x 1013x 9x 9x 1013x 1x 1x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1004x 1007x 5x 5x 1002x 1007x 1013x 3x 3x 3x 3x 3x | /** * @license Apache-2.0 * * Copyright (c) 2018 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var constantFunction = require( '@stdlib/utils/constant-function' ); var degenerate = require( '@stdlib/stats/base/dists/degenerate/quantile' ).factory; var erfinv = require( '@stdlib/math/base/special/erfinv' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var sqrt = require( '@stdlib/math/base/special/sqrt' ); // MAIN // /** * Returns a function for evaluating the quantile function of a normal distribution. * * @param {number} mu - mean * @param {NonNegativeNumber} sigma - standard deviation * @returns {Function} quantile function * * @example * var quantile = factory( 10.0, 2.0 ); * var y = quantile( 0.5 ); * // returns 10.0 * * y = quantile( 0.8 ); * // returns ~11.683 */ function factory( mu, sigma ) { var A; var B; if ( isnan( mu ) || isnan( sigma ) || sigma < 0.0 ) { return constantFunction( NaN ); } if ( sigma === 0.0 ) { degenerate( mu ); } A = mu; B = sigma * sqrt( 2.0 ); return quantile; /** * Evaluates the quantile function for a normal distribution. * * @private * @param {Probability} p - input value * @returns {number} evaluated quantile function * * @example * var y = quantile( 0.3 ); * // returns <number> */ function quantile( p ) { if ( isnan( p ) || p < 0.0 || p > 1.0 ) { return NaN; } return A + ( B * erfinv( (2.0*p) - 1.0 ) ); } } // EXPORTS // module.exports = factory; |