time-to-botec

Benchmark sampling in different programming languages
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smeanli.js (2000B)


      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 sapxsum = require( '@stdlib/blas/ext/base/sapxsum' ).ndarray;
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Computes the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
     31 *
     32 * ## References
     33 *
     34 * -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
     35 *
     36 * @param {PositiveInteger} N - number of indexed elements
     37 * @param {Float32Array} x - input array
     38 * @param {integer} stride - stride length
     39 * @returns {number} arithmetic mean
     40 *
     41 * @example
     42 * var Float32Array = require( '@stdlib/array/float32' );
     43 *
     44 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
     45 * var N = x.length;
     46 *
     47 * var v = smeanli( N, x, 1 );
     48 * // returns ~0.3333
     49 */
     50 function smeanli( N, x, stride ) {
     51 	var ix;
     52 
     53 	if ( N <= 0 ) {
     54 		return NaN;
     55 	}
     56 	if ( N === 1 || stride === 0 ) {
     57 		return x[ 0 ];
     58 	}
     59 	if ( stride < 0 ) {
     60 		ix = (1-N) * stride;
     61 	} else {
     62 		ix = 0;
     63 	}
     64 	return float64ToFloat32( x[ ix ] + float64ToFloat32( sapxsum( N-1, -x[ ix ], x, stride, ix+stride ) / N ) ); // eslint-disable-line max-len
     65 }
     66 
     67 
     68 // EXPORTS //
     69 
     70 module.exports = smeanli;