55 lines
1.5 KiB
JavaScript
55 lines
1.5 KiB
JavaScript
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/**
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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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'use strict';
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// MODULES //
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var dnanvariancewd = require( './../../../base/dnanvariancewd' );
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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// MAIN //
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/**
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* Computes the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
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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, NaN, 2.0 ] );
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* var N = x.length;
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*
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* var v = dnanstdevwd( N, 1, x, 1 );
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* // returns ~2.0817
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*/
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function dnanstdevwd( N, correction, x, stride ) {
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return sqrt( dnanvariancewd( N, correction, x, stride ) );
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}
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// EXPORTS //
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module.exports = dnanstdevwd;
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