time-to-botec

Benchmark sampling in different programming languages
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variancetk.js (1546B)


      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 // MAIN //
     22 
     23 /**
     24 * Computes the variance of a strided array using a one-pass textbook algorithm.
     25 *
     26 * @param {PositiveInteger} N - number of indexed elements
     27 * @param {number} correction - degrees of freedom adjustment
     28 * @param {NumericArray} x - input array
     29 * @param {integer} stride - stride length
     30 * @returns {number} variance
     31 *
     32 * @example
     33 * var x = [ 1.0, -2.0, 2.0 ];
     34 *
     35 * var v = variancetk( x.length, 1, x, 1 );
     36 * // returns ~4.3333
     37 */
     38 function variancetk( N, correction, x, stride ) {
     39 	var S2;
     40 	var ix;
     41 	var S;
     42 	var v;
     43 	var n;
     44 	var i;
     45 
     46 	n = N - correction;
     47 	if ( N <= 0 || n <= 0.0 ) {
     48 		return NaN;
     49 	}
     50 	if ( N === 1 || stride === 0 ) {
     51 		return 0.0;
     52 	}
     53 	if ( stride < 0 ) {
     54 		ix = (1-N) * stride;
     55 	} else {
     56 		ix = 0;
     57 	}
     58 	S2 = 0.0;
     59 	S = 0.0;
     60 	for ( i = 0; i < N; i++ ) {
     61 		v = x[ ix ];
     62 		S2 += v * v;
     63 		S += v;
     64 		ix += stride;
     65 	}
     66 	return (S2 - ((S/N)*S)) / n;
     67 }
     68 
     69 
     70 // EXPORTS //
     71 
     72 module.exports = variancetk;