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@stdlib/stats

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Standard library statistical functions.

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/** * @license Apache-2.0 * * Copyright (c) 2022 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var isPositiveInteger = require( '@stdlib/assert/is-positive-integer' ).isPrimitive; var prange = require( './../../../../../base/dists/studentized-range/cdf' ); var abs = require( '@stdlib/math/base/special/abs' ); var PINF = require( '@stdlib/constants/float64/pinf' ); var qtrngo = require( './qtrngo.js' ); // VARIABLES // var PCUT = 1e-8; var JMAX = 28; // MAIN // /** * Returns a function for evaluating the quantile function for a studentized range distribution. * * @param {PositiveNumber} r - sample size for range (same for each group; must be greater than or equal to `2`) * @param {PositiveNumber} v - degrees of freedom (must be greater than or equal to `2`) * @param {PositiveInteger} [nranges=1] - number of groups whose maximum range is considered * @returns {Function} quantile function * * @example * var quantile = factory( 3.0, 3.0 ); * var y = quantile( 0.5 ); * // returns ~1.791 * * y = quantile( 0.8 ); * // returns ~3.245 * * y = quantile( 1.0 ); * // returns Infinity */ function factory( r, v, nranges ) { if ( isnan( r ) || isnan( v ) || r < 2.0 || v < 2.0 ) { return constantFunction( NaN ); } if ( nranges === void 0 ) { nranges = 1; } else if ( !isPositiveInteger( nranges ) ) { return NaN; } return quantile; /** * Evaluates the quantile function for a studentized range distribution. * * @private * @param {Probability} p - input value * @returns {number} evaluated quantile function * * @example * var y = quantile( 0.3 ); * // returns <number> */ function quantile( p ) { var aux; var e1; var e2; var q1; var q2; var p1; var p2; var j; if ( isnan( p ) || p < 0.0 || p > 1.0 ) { return NaN; } if ( p === 0.0 ) { return 0.0; } if ( p === 1.0 ) { return PINF; } q1 = qtrngo( p, v, r ); while ( true ) { p1 = prange( q1, r, v, nranges ); if ( p1 > p ) { q1 -= 0.4; } if ( q1 < 0.0 ) { q1 = 0.1; } if ( p1 < p ) { break; } } aux = q1; if ( abs( p1 - p ) < PCUT ) { return NaN; } q2 = q1 + 0.5; while ( true ) { p2 = prange( q2, r, v, nranges ); if ( p2 < p ) { q2 += 0.4; } if ( q2 < 0.0 ) { q2 = 1.0; } if ( p2 > p ) { break; } } if ( q2 < q1 ) { q2 = q1 + 0.01; } j = 2; while ( j <= JMAX ) { p2 = prange( q2, r, v, nranges ); e1 = p1 - p; e2 = p2 - p; if ( e2 - e1 !== 0 ) { aux = ( ( e2 * q1 ) - ( e1 * q2 ) ) / ( e2 - e1 ); } if ( abs( e1 ) < abs( e2 ) ) { if ( abs( p1 - p ) < PCUT * 5.0 ) { j = JMAX + 2; } q1 = aux; p1 = prange( q1, r, v, nranges ); } else { q1 = q2; p1 = p2; q2 = aux; } j += 1; } return aux; } } // EXPORTS // module.exports = factory;