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[148,148,100,3,3,100,1,1,100,148,148,100,"0fae24724e5fa4e6c3e7e53b5aaa590d8afe96d2","2025-07-18 21:34:48 +0530"]
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[148,148,100,3,3,100,1,1,100,148,148,100,"f8972d7655b6b66af100cc9c9f43662ac4a7c557","2025-07-21 09:54:33 +0000"]

stats/base/ndarray/dcovarmtk/index.html

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@@ -116,7 +116,7 @@ <h1><a href="../../../../../index.html">All files</a> stats/base/ndarray/dcovarm
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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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</div>
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<script src="../../../../../prettify.js"></script>
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<script>

stats/base/ndarray/dcovarmtk/index.js.html

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* var ybuf = new Float64Array( [ 2.0, -2.0, 1.0 ] );
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* var y = new ndarray( opts.dtype, ybuf, [ 3 ], [ 1 ], 0, 'row-major' );
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*
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* var correction = scalar2ndarray( 1.0, opts );
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* var meanx = scalar2ndarray( 1.0/3.0, opts );
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* var meany = scalar2ndarray( 1.0/3.0, opts );
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* var correction = scalar2ndarray( 1.0, opts );
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*
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* var v = dcovarmtk( [ x, y, meanx, meany, correction ] );
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* var v = dcovarmtk( [ x, y, correction, meanx, meany ] );
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* // returns ~3.8333
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*/
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&nbsp;
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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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</div>
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<script src="../../../../../prettify.js"></script>
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<script>

stats/base/ndarray/dcovarmtk/main.js.html

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@@ -286,9 +286,9 @@ <h1><a href="../../../../../index.html">All files</a> / <a href="index.html">sta
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*
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* - first one-dimensional input ndarray.
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* - second one-dimensional input ndarray.
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* - a zero-dimensional ndarray specifying degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the covariance according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the population covariance, setting this parameter to `0` is the standard choice (i.e., the provided arrays contain data constituting entire populations). When computing the unbiased sample covariance, setting this parameter to `1` is the standard choice (i.e., the provided arrays contain data sampled from larger populations; this is commonly referred to as Bessel's correction).
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* - a zero-dimensional ndarray specifying mean of the first one-dimensional ndarray.
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* - a zero-dimensional ndarray specifying mean of the second one-dimensional ndarray.
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* - a zero-dimensional ndarray specifying degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the covariance according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the population covariance, setting this parameter to `0` is the standard choice (i.e., the provided arrays contain data constituting entire populations). When computing the unbiased sample covariance, setting this parameter to `1` is the standard choice (i.e., the provided arrays contain data sampled from larger populations; this is commonly referred to as Bessel's correction).
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*
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* @param {ArrayLikeObject&lt;Object&gt;} arrays - array-like object containing input ndarrays
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* @returns {number} covariance
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* var ybuf = new Float64Array( [ 2.0, -2.0, 1.0 ] );
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* var y = new ndarray( opts.dtype, ybuf, [ 3 ], [ 1 ], 0, 'row-major' );
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*
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* var correction = scalar2ndarray( 1.0, opts );
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* var meanx = scalar2ndarray( 1.0/3.0, opts );
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* var meany = scalar2ndarray( 1.0/3.0, opts );
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* var correction = scalar2ndarray( 1.0, opts );
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*
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* var v = dcovarmtk( [ x, y, meanx, meany, correction ] );
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* var v = dcovarmtk( [ x, y, correction, meanx, meany ] );
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* // returns ~3.8333
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*/
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function dcovarmtk( arrays ) {
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x = arrays[ 0 ];
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y = arrays[ 1 ];
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&nbsp;
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meanx = ndarraylike2scalar( arrays[ 2 ] );
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meany = ndarraylike2scalar( arrays[ 3 ] );
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correction = ndarraylike2scalar( arrays[ 4 ] );
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correction = ndarraylike2scalar( arrays[ 2 ] );
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meanx = ndarraylike2scalar( arrays[ 3 ] );
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meany = ndarraylike2scalar( arrays[ 4 ] );
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&nbsp;
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return strided( numelDimension( x, 0 ), correction, meanx, getData( x ), getStride( x, 0 ), getOffset( x ), meany, getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len
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}
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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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</div>
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<script src="../../../../../prettify.js"></script>
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<script>

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