53 lines
1.3 KiB
JavaScript
53 lines
1.3 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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/**
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* Compute the standard deviation of a strided array ignoring `NaN` values and using Welford's algorithm.
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*
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* @module @stdlib/stats/base/nanstdevwd
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*
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* @example
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* var nanstdevwd = require( '@stdlib/stats/base/nanstdevwd' );
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*
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* var x = [ 1.0, -2.0, NaN, 2.0 ];
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*
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* var v = nanstdevwd( x.length, 1, x, 1 );
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* // returns ~2.0817
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*
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* @example
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* var floor = require( '@stdlib/math/base/special/floor' );
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* var nanstdevwd = require( '@stdlib/stats/base/nanstdevwd' );
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*
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* var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];
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* var N = floor( x.length / 2 );
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*
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* var v = nanstdevwd.ndarray( N, 1, x, 2, 1 );
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* // returns 2.5
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*/
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// MODULES //
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var nanstdevwd = require( './main.js' );
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// EXPORTS //
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module.exports = nanstdevwd;
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