quantile.js (1965B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2018 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var ln = require( '@stdlib/math/base/special/ln' ); 24 var pow = require( '@stdlib/math/base/special/pow' ); 25 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 26 27 28 // MAIN // 29 30 /** 31 * Evaluates the quantile function for a Weibull distribution with scale parameter `k` and shape parameter `lambda` at a probability `p`. 32 * 33 * @param {Probability} p - input value 34 * @param {PositiveNumber} k - scale parameter 35 * @param {PositiveNumber} lambda - shape parameter 36 * @returns {number} evaluated quantile function 37 * 38 * @example 39 * var y = quantile( 0.8, 1.0, 1.0 ); 40 * // returns ~1.609 41 * 42 * @example 43 * var y = quantile( 0.5, 2.0, 4.0 ); 44 * // returns ~3.33 45 * 46 * @example 47 * var y = quantile( 1.1, 1.0, 1.0 ); 48 * // returns NaN 49 * 50 * @example 51 * var y = quantile( -0.2, 1.0, 1.0 ); 52 * // returns NaN 53 * 54 * @example 55 * var y = quantile( NaN, 0.0, 1.0 ); 56 * // returns NaN 57 * 58 * @example 59 * var y = quantile( 0.0, NaN, 1.0 ); 60 * // returns NaN 61 * 62 * @example 63 * var y = quantile( 0.0, 0.0, NaN ); 64 * // returns NaN 65 * 66 * @example 67 * var y = quantile( 0.5, 1.0, -1.0 ); 68 * // returns NaN 69 */ 70 function quantile( p, k, lambda ) { 71 if ( 72 isnan( k ) || 73 isnan( lambda ) || 74 isnan( p ) || 75 k <= 0.0 || 76 lambda <= 0.0 || 77 p < 0.0 || 78 p > 1.0 79 ) { 80 return NaN; 81 } 82 return lambda * pow( -ln( 1.0 - p ), 1.0/k ); 83 } 84 85 86 // EXPORTS // 87 88 module.exports = quantile;