quantile.js (2049B)
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 isnan = require( '@stdlib/math/base/assert/is-nan' ); 24 var tan = require( '@stdlib/math/base/special/tan' ); 25 var PI = require( '@stdlib/constants/float64/pi' ); 26 27 28 // MAIN // 29 30 /** 31 * Evaluates the quantile function for a Cauchy distribution with location parameter `x0` and scale parameter `gamma` at a probability `p`. 32 * 33 * @param {Probability} p - input value 34 * @param {number} x0 - location parameter 35 * @param {PositiveNumber} gamma - scale parameter 36 * @returns {number} evaluated quantile function 37 * 38 * @example 39 * var y = quantile( 0.3, 2.0, 2.0 ); 40 * // returns ~0.547 41 * 42 * @example 43 * var y = quantile( 0.8, 10, 2.0 ); 44 * // returns ~12.753 45 * 46 * @example 47 * var y = quantile( 0.1, 10.0, 2.0 ); 48 * // returns ~3.845 49 * 50 * @example 51 * var y = quantile( 1.1, 0.0, 1.0 ); 52 * // returns NaN 53 * 54 * @example 55 * var y = quantile( -0.2, 0.0, 1.0 ); 56 * // returns NaN 57 * 58 * @example 59 * var y = quantile( NaN, 0.0, 1.0 ); 60 * // returns NaN 61 * 62 * @example 63 * var y = quantile( 0.0, NaN, 1.0 ); 64 * // returns NaN 65 * 66 * @example 67 * var y = quantile( 0.0, 0.0, NaN ); 68 * // returns NaN 69 * 70 * @example 71 * // Negative scale parameter: 72 * var y = quantile( 0.5, 0.0, -1.0 ); 73 * // returns NaN 74 */ 75 function quantile( p, x0, gamma ) { 76 if ( 77 isnan( x0 ) || 78 isnan( gamma ) || 79 gamma <= 0.0 || 80 isnan( p ) || 81 p < 0.0 || 82 p > 1.0 83 ) { 84 return NaN; 85 } 86 return x0 + ( gamma * tan( PI*( p-0.5 ) ) ); 87 } 88 89 90 // EXPORTS // 91 92 module.exports = quantile;