66 lines
1.8 KiB
JavaScript
66 lines
1.8 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 variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
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*
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* @module @stdlib/stats/base/dnanvarianceyc
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var dnanvarianceyc = require( '@stdlib/stats/base/dnanvarianceyc' );
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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 = dnanvarianceyc( N, 1, x, 1 );
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* // returns ~4.3333
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var floor = require( '@stdlib/math/base/special/floor' );
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* var dnanvarianceyc = require( '@stdlib/stats/base/dnanvarianceyc' );
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*
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* var x = new Float64Array( [ 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 = dnanvarianceyc.ndarray( N, 1, x, 2, 1 );
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* // returns 6.25
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*/
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// MODULES //
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var join = require( 'path' ).join;
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var tryRequire = require( '@stdlib/utils/try-require' );
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var dnanvarianceyc = require( './main.js' );
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// MAIN //
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var tmp = tryRequire( join( __dirname, './native.js' ) );
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if ( !(tmp instanceof Error) ) {
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dnanvarianceyc = tmp;
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}
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// EXPORTS //
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module.exports = dnanvarianceyc;
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