quantile.js (2088B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2020 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 isPositiveInteger = require( '@stdlib/math/base/assert/is-positive-integer' ); 24 var isfinite = require( '@stdlib/math/base/assert/is-finite' ); 25 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 26 var exp = require( '@stdlib/math/base/special/exp' ); 27 var LN2 = require( '@stdlib/constants/float64/ln-two' ); 28 var weights = require( './weights.js' ); 29 30 31 // MAIN // 32 33 /** 34 * Evaluates the quantile function of the Wilcoxon signed rank test statistic with `n` observations. 35 * 36 * @param {Probability} p - input value 37 * @param {PositiveInteger} n - number of observations 38 * @returns {NonNegativeInteger} evaluated quantile function 39 * 40 * @example 41 * var y = quantile( 0.8, 5 ); 42 * // returns 11 43 * 44 * @example 45 * var y = quantile( 0.5, 4 ); 46 * // returns 5 47 * 48 * @example 49 * var y = quantile( 1.1, 5 ); 50 * // returns NaN 51 * 52 * @example 53 * var y = quantile( -0.2, 5 ); 54 * // returns NaN 55 * 56 * @example 57 * var y = quantile( NaN, 5 ); 58 * // returns NaN 59 * 60 * @example 61 * var y = quantile( 0.0, NaN ); 62 * // returns NaN 63 */ 64 function quantile( p, n ) { 65 var pui; 66 var q; 67 var r; 68 if ( isnan( n ) || !isPositiveInteger( n ) || !isfinite( n ) ) { 69 return NaN; 70 } 71 if ( isnan( p ) || p < 0.0 || p > 1.0 ) { 72 return NaN; 73 } 74 if ( p === 0.0 ) { 75 return 0; 76 } 77 if ( p === 1.0 ) { 78 return ( n * ( n + 1 ) ) / 2; 79 } 80 pui = exp( -n * LN2 ); 81 r = 0; 82 q = -1; 83 while ( r < p ) { 84 q += 1; 85 r += pui * weights( q, n ); 86 } 87 return q; 88 } 89 90 91 // EXPORTS // 92 93 module.exports = quantile;