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‎stats/base/dstdevwd/coverage.ndjson‎

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[375,375,100,14,14,100,4,4,100,375,375,100,"e878384af7beb18fb6f697dcbf99e75d57e2171c","2024-12-26 22:33:57 -0800"]

‎stats/base/dstdevwd/dstdevwd.js.html‎

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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
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* @license Apache-2.0
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*
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* Copyright (c) 2020 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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&nbsp;
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'use strict';
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&nbsp;
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// MODULES //
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&nbsp;
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var dvariancewd = require( '@stdlib/stats/base/dvariancewd' );
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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&nbsp;
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&nbsp;
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// MAIN //
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&nbsp;
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/**
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* Computes the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
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*
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* ## References
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*
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* - Welford, B. P. 1962. "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4 (3). Taylor &amp; Francis: 419–20. doi:[10.1080/00401706.1962.10490022](https://doi.org/10.1080/00401706.1962.10490022).
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* - van Reeken, A. J. 1968. "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11 (3): 149–50. doi:[10.1145/362929.362961](https://doi.org/10.1145/362929.362961).
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*
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* @param {PositiveInteger} N - number of indexed elements
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* @param {number} correction - degrees of freedom adjustment
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* @param {Float64Array} x - input array
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* @param {integer} stride - stride length
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* @returns {number} standard deviation
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
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* var N = x.length;
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*
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* var v = dstdevwd( N, 1, x, 1 );
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* // returns ~2.0817
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*/
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function dstdevwd( N, correction, x, stride ) {
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return sqrt( dvariancewd( N, correction, x, stride ) );
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}
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&nbsp;
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&nbsp;
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// EXPORTS //
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&nbsp;
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module.exports = dstdevwd;
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&nbsp;</pre></td></tr></table></pre>
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