time-to-botec

Benchmark sampling in different programming languages
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sstdevyc.js (1881B)


      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 float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
     24 var svarianceyc = require( './../../../base/svarianceyc' );
     25 var sqrt = require( '@stdlib/math/base/special/sqrt' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Computes the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
     32 *
     33 * ## References
     34 *
     35 * -   Youngs, Edward A., and Elliot M. Cramer. 1971. "Some Results Relevant to Choice of Sum and Sum-of-Product Algorithms." _Technometrics_ 13 (3): 657–65. doi:[10.1080/00401706.1971.10488826](https://doi.org/10.1080/00401706.1971.10488826).
     36 *
     37 * @param {PositiveInteger} N - number of indexed elements
     38 * @param {number} correction - degrees of freedom adjustment
     39 * @param {Float32Array} x - input array
     40 * @param {integer} stride - stride length
     41 * @returns {number} standard deviation
     42 *
     43 * @example
     44 * var Float32Array = require( '@stdlib/array/float32' );
     45 *
     46 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
     47 * var N = x.length;
     48 *
     49 * var v = sstdevyc( N, 1, x, 1 );
     50 * // returns ~2.0817
     51 */
     52 function sstdevyc( N, correction, x, stride ) {
     53 	return float64ToFloat32( sqrt( svarianceyc( N, correction, x, stride ) ) );
     54 }
     55 
     56 
     57 // EXPORTS //
     58 
     59 module.exports = sstdevyc;