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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 | 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 | /** * @license Apache-2.0 * * Copyright (c) 2020 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'; /** * Compute an incremental sample covariance while ignoring NaN values. * * @module @stdlib/stats/incr/nancovariance * * @example * var nancovariance = require( '@stdlib/stats/incr/nancovariance' ); * * var acc = nancovariance(); * * var cov = acc(); * // returns null * * cov = acc( 2.0, 1.0 ); * // returns null (covariance is undefined for a single pair) * * cov = acc( NaN , 5.0 ); * // returns null (An input with a NaN is ignored) * * cov = acc( 4.0, 5.0 ); * // returns 4.0 * * cov = acc(); * // returns 4.0 */ // MODULES // var main = require( './main.js' ); // EXPORTS // module.exports = main; |