time-to-botec

Benchmark sampling in different programming languages
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factory.js (2120B)


      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 constantFunction = require( '@stdlib/utils/constant-function' );
     24 var betainc = require( '@stdlib/math/base/special/betainc' );
     25 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     26 var PINF = require( '@stdlib/constants/float64/pinf' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Returns a function for evaluating the cumulative distribution function (CDF) for an F distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2`.
     33 *
     34 * @param {PositiveNumber} d1 - numerator degrees of freedom
     35 * @param {PositiveNumber} d2 - denominator degrees of freedom
     36 * @returns {Function} CDF
     37 *
     38 * @example
     39 * var cdf = factory( 10.0, 2.0 );
     40 *
     41 * var y = cdf( 10.0 );
     42 * // returns ~0.906
     43 *
     44 * y = cdf( 8.0 );
     45 * // returns ~0.884
     46 */
     47 function factory( d1, d2 ) {
     48 	if (
     49 		isnan( d1 ) ||
     50 		isnan( d2 ) ||
     51 		d1 <= 0.0 ||
     52 		d2 <= 0.0
     53 	) {
     54 		return constantFunction( NaN );
     55 	}
     56 	return cdf;
     57 
     58 	/**
     59 	* Evaluates the cumulative distribution function (CDF) for an F distribution.
     60 	*
     61 	* @private
     62 	* @param {number} x - input value
     63 	* @returns {Probability} evaluated CDF
     64 	*
     65 	* @example
     66 	* var y = cdf( 10.0 );
     67 	* // returns <number>
     68 	*/
     69 	function cdf( x ) {
     70 		if ( isnan( x ) ) {
     71 			return NaN;
     72 		}
     73 		if ( x <= 0.0 ) {
     74 			return 0.0;
     75 		}
     76 		if ( x === PINF ) {
     77 			return 1.0;
     78 		}
     79 		if ( d1 * x > d2 ) {
     80 			return betainc( (d1*x)/(d2+(d1*x)), d1/2.0, d2/2.0, true, false );
     81 		}
     82 		return betainc( d2/(d2+(d1*x)), d2/2.0, d1/2.0, true, true );
     83 	}
     84 }
     85 
     86 
     87 // EXPORTS //
     88 
     89 module.exports = factory;