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 93 94 95 96 97 98 99 100 | 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 69x 69x 69x 43x 43x 43x 43x 43x 26x 26x 26x 31x 31x 31x 31x 31x 31x 31x 31x 31x 31x 31x 2223x 741x 741x 1482x 1482x 2223x 69x 1x 1x 1x 1x 1x | /** * @license Apache-2.0 * * Copyright (c) 2018 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 incrmpcorrdist = require( '@stdlib/stats/incr/mpcorrdist' ); // MAIN // /** * Returns an accumulator function which incrementally computes a moving sample Pearson product-moment correlation distance, ignoring `NaN` values. * * @param {PositiveInteger} W - Sliding window size for the moving calculation. Must be a positive integer. * @param {number} [x] - Initial mean value of the first dataset. Defaults to `NaN`. * @param {number} [y] - Initial mean value of the second dataset. Defaults to `NaN`. * @returns {Function} Accumulator function which computes the Pearson correlation distance. * * @example * var accumulator = incrnanmpcorrdist( 3 ); * * var d = accumulator(); * // returns null * * d = accumulator( 2.0, 1.0 ); * // returns 1.0 * * d = accumulator( NaN, 3.0 ); * // returns 1.0 * * d = accumulator( 4.0, NaN ); * // returns 1.0 * * d = accumulator( NaN, NaN ); * // returns 1.0 * * d = accumulator( 5.0, 2.0 ); * // returns 0.0 * * d = accumulator(); * // returns 0.0 * * @example * var accumulator = incrnanmpcorrdist( 3, -2.0, 10.0 ); */ function incrnanmpcorrdist( W, x, y ) { var d; if ( arguments.length > 1 ) { if ( isnan( x ) || isnan( y ) ) { d = incrmpcorrdist( W ); } else { d = incrmpcorrdist( W, x, y ); } } else { d = incrmpcorrdist( W ); } return accumulator; /** * If provided a value, the accumulator function returns an updated moving sample Pearson product-moment correlation distance. If not provided a value, the accumulator function returns the current moving sample Pearson product-moment correlation distance. * * @private * @param {number} [x] - new value * @param {number} [y] - new value * @returns {(number|null)} moving sample Pearson product-moment correlation distance or null */ function accumulator( x, y ) { if ( arguments.length === 0 || isnan( x ) || isnan( y ) ) { return d(); } return d( x, y ); } } // EXPORTS // module.exports = incrnanmpcorrdist; |