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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 93 94 | 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 1x 1x 17x 17x 17x 11x 17x 6x 6x 8x 8x 8x 8x 8x 8x 8x 8x 8x 8x 32x 14x 14x 18x 32x 17x 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 isNumber = require( '@stdlib/assert/is-number' ).isPrimitive; var incrmeanvar = require( '@stdlib/stats/incr/meanvar' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); // MAIN // /** * Returns an accumulator function which incrementally computes an arithmetic mean and unbiased sample variance, ignoring `NaN` value. * * ## References * * - Welford, B. P. 1962. "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4 (3). Taylor & Francis: 419–20. doi:[10.1080/00401706.1962.10490022](https://doi.org/10.1080/00401706.1962.10490022). * - van Reeken, A. J. 1968. "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11 (3): 149–50. doi:[10.1145/362929.362961](https://doi.org/10.1145/362929.362961). * * @param {Collection} [out] - output array * @throws {TypeError} output argument must be array-like * @returns {Function} accumulator function * * @example * var accumulator = incrnanmeanvar(); * * var mv = accumulator(); * // returns null * * mv = accumulator( 2.0 ); * // returns [ 2.0, 0.0 ] * * mv = accumulator( -5.0 ); * // returns [ -1.5, 24.5 ] * * mv = accumulator( 3.0 ); * // returns [ 0.0, 19.0 ] * * mv = accumulator( NaN ); * // returns [ 0.0, 19.0 ] * * mv = accumulator( 5.0 ); * // returns [ 1.25, ~18.92 ] * * mv = accumulator(); * // returns [ 1.25, ~18.92 ] */ function incrnanmeanvar( out ) { var meanvar; if ( arguments.length > 0 ) { meanvar = incrmeanvar( out ); } else { meanvar = incrmeanvar(); } return accumulator; /** * If provided a value, the accumulator function returns updated results. If not provided a value, the accumulator function returns the current results. * * @private * @param {number} [x] - input value * @returns {(ArrayLikeObject|null)} output array or null */ function accumulator( x ) { if ( arguments.length === 0 || isnan( x ) || !isNumber( x ) ) { return meanvar(); } return meanvar( x ); } } // EXPORTS // module.exports = incrnanmeanvar; |