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 | 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 68x 68x 68x 42x 68x 26x 26x 30x 30x 30x 30x 30x 30x 30x 30x 30x 30x 30x 2214x 410x 410x 1804x 2214x 68x 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 incrmapcorr = require( '@stdlib/stats/incr/mapcorr' );
var isnan = require( '@stdlib/assert/is-nan' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes a moving sample absolute Pearson product-moment correlation coefficient, ignoring `NaN` value.
*
* @param {PositiveInteger} W - window size
* @param {number} [meanx] - mean value
* @param {number} [meany] - mean value
* @throws {TypeError} first argument must be a positive integer
* @throws {TypeError} second argument must be a number
* @throws {TypeError} third argument must be a number
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrmapcorr( 3 );
*
* var ar = accumulator();
* // returns null
*
* ar = accumulator( 2.0, 1.0 );
* // returns 0.0
*
* ar = accumulator( -5.0, 3.14 );
* // returns ~1.0
*
* ar = accumulator( 3.0, -1.0 );
* // returns ~0.925
*
* ar = accumulator( 5.0, -9.5 );
* // returns ~0.863
*
* ar = accumulator();
* // returns ~0.863
*
* @example
* var accumulator = incrmapcorr( 3, -2.0, 10.0 );
*/
function incrnanmapcorr( W, meanx, meany ) {
var acc;
if ( arguments.length > 1 ) {
acc = incrmapcorr( W, meanx, meany );
} else {
acc = incrmapcorr( W );
}
return accumulator;
/**
* If provided a value, the accumulator function returns an updated accumulated value. If not provided a value, the accumulator function returns the current accumulated value.
*
* @private
* @param {number} [x] - input value
* @param {number} [y] - input value
* @returns {(number|null)} sample absolute correlation coefficient or null
*/
function accumulator( x, y ) {
if ( arguments.length === 0 || isnan( x ) || !isNumber( x ) || isnan( y ) || !isNumber( y ) ) {
return acc();
}
return acc( x, y );
}
}
// EXPORTS //
module.exports = incrnanmapcorr;
|