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 | 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 19x 19x 19x 13x 19x 6x 6x 11x 11x 11x 11x 11x 11x 11x 11x 11x 11x 50x 12x 12x 38x 50x 19x 1x 1x 1x 1x 1x | /**
* @license Apache-2.0
*
* Copyright (c) 2025 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 incrvariance = require( '@stdlib/stats/incr/variance' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes an unbiased sample variance, ignoring `NaN` values.
*
* @param {number} [mean] - mean value
* @throws {TypeError} must provide a number primitive
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrnanvariance();
*
* 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();
* // returns 24.5
*
* @example
* var accumulator = incrnanvariance( 3.14 );
*/
function incrnanvariance( mean ) {
var variance;
if ( arguments.length ) {
variance = incrvariance( mean );
} else {
variance = incrvariance();
}
return accumulator;
/**
* If provided a value, the accumulator function returns an updated unbiased sample variance. If not provided a value, the accumulator function returns the current unbiased sample variance.
*
* @private
* @param {number} [x] - new value
* @returns {(number|null)} unbiased sample variance or null
*/
function accumulator( x ) {
if ( arguments.length === 0 || isnan( x ) ) {
return variance();
}
return variance( x );
}
}
// EXPORTS //
module.exports = incrnanvariance;
|