time-to-botec

Benchmark sampling in different programming languages
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variance.js (1678B)


      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 pow = require( '@stdlib/math/base/special/pow' );
     24 
     25 
     26 // MAIN //
     27 
     28 /**
     29 * Returns the variance of an F distribution.
     30 *
     31 * @param {PositiveNumber} d1 - numerator degrees of freedom
     32 * @param {PositiveNumber} d2 - denominator degrees of freedom
     33 * @returns {PositiveNumber} variance
     34 *
     35 * @example
     36 * var v = variance( 3.0, 5.0 );
     37 * // returns ~11.111
     38 *
     39 * @example
     40 * var v = variance( 4.0, 12.0 );
     41 * // returns ~1.26
     42 *
     43 * @example
     44 * var v = variance( 8.0, 5.0 );
     45 * // returns ~7.639
     46 *
     47 * @example
     48 * var v = variance( 1.0, 4.0 );
     49 * // returns NaN
     50 *
     51 * @example
     52 * var v = variance( 1.0, -0.1 );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var v = variance( -0.1, 1.0 );
     57 * // returns NaN
     58 *
     59 * @example
     60 * var v = variance( 2.0, NaN );
     61 * // returns NaN
     62 *
     63 * @example
     64 * var v = variance( NaN, 2.0 );
     65 * // returns NaN
     66 */
     67 function variance( d1, d2 ) {
     68 	var out;
     69 	if ( d1 <= 0.0 || d2 <= 4.0 ) {
     70 		return NaN;
     71 	}
     72 	out = 2.0 * d2 * d2 * ( d1 + d2 - 2.0 );
     73 	out /= d1 * pow( d2 - 2.0, 2.0 ) * ( d2 - 4.0 );
     74 	return out;
     75 }
     76 
     77 
     78 // EXPORTS //
     79 
     80 module.exports = variance;