time-to-botec

Benchmark sampling in different programming languages
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dmeanstdevpn.js (1803B)


      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 dmeanvarpn = require( './../../../base/dmeanvarpn' );
     24 var sqrt = require( '@stdlib/math/base/special/sqrt' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Computes the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
     31 *
     32 * @param {PositiveInteger} N - number of indexed elements
     33 * @param {number} correction - degrees of freedom adjustment
     34 * @param {Float64Array} x - input array
     35 * @param {integer} strideX - `x` stride length
     36 * @param {Float64Array} out - output array
     37 * @param {integer} strideOut - `out` stride length
     38 * @returns {Float64Array} output array
     39 *
     40 * @example
     41 * var Float64Array = require( '@stdlib/array/float64' );
     42 *
     43 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
     44 * var out = new Float64Array( 2 );
     45 *
     46 * var v = dmeanstdevpn( x.length, 1, x, 1, out, 1 );
     47 * // returns <Float64Array>[ ~0.3333, ~2.0817 ]
     48 */
     49 function dmeanstdevpn( N, correction, x, strideX, out, strideOut ) {
     50 	var io;
     51 
     52 	dmeanvarpn( N, correction, x, strideX, out, strideOut );
     53 	if ( strideOut < 0 ) {
     54 		io = 0;
     55 	} else {
     56 		io = strideOut;
     57 	}
     58 	out[ io ] = sqrt( out[ io ] );
     59 	return out;
     60 }
     61 
     62 
     63 // EXPORTS //
     64 
     65 module.exports = dmeanstdevpn;