All files main.js

100% Statements 92/92
100% Branches 9/9
100% Functions 2/2
100% Lines 92/92

Press n or j to go to the next uncovered block, b, p or k for the previous block.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 50x 50x 50x 29x 50x 21x 21x 20x 20x 20x 20x 20x 20x 20x 20x 20x 20x 404x 128x 128x 276x 404x 50x 1x 1x 1x 1x 1x  
/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
 
'use strict';
 
// MODULES //
 
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var incrmvariance = require( '@stdlib/stats/incr/mvariance' );
 
 
// MAIN //
 
/**
* Returns an accumulator function which incrementally computes a moving unbiased sample variance, ignoring `NaN` values.
*
* @param {PositiveInteger} W - window size
* @param {number} [mean] - mean value
* @throws {TypeError} first argument must be a positive integer
* @throws {TypeError} second argument must be a number
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrnanmvariance( 3 );
*
* var s2 = accumulator();
* // returns null
*
* s2 = accumulator( 2.0 );
* // returns 0.0
*
* s2 = accumulator( -5.0 );
* // returns 24.5
*
* s2 = accumulator( NaN );
* // returns 24.5
*
* s2 = accumulator( 3.0 );
* // returns 19.0
*
* s2 = accumulator( 5.0 );
* // returns 28.0
*
* s2 = accumulator();
* // returns 28.0
*
* @example
* var accumulator = incrnanmvariance( 3, -2.0 );
*/
function incrnanmvariance( W, mean ) {
	var acc;
	if ( arguments.length > 1 ) {
		acc = incrmvariance( W, mean );
	} else {
		acc = incrmvariance( W );
	}
	return accumulator;
 
	/**
	* If provided a value, the accumulator function returns an updated unbiased sample variance. If provided `NaN` or no value, the accumulator function returns the current unbiased sample variance.
	*
	* @private
	* @param {number} [x] - input value
	* @returns {(number|null)} unbiased sample variance or null
	*/
	function accumulator( x ) {
		if ( arguments.length === 0 || isnan( x ) ) {
			return acc();
		}
		return acc( x );
	}
}
 
 
// EXPORTS //
 
module.exports = incrnanmvariance;