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* @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 isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
var incrpcorr = require( '@stdlib/stats/incr/pcorr' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes a squared sample Pearson product-moment correlation coefficient.
*
* @param {number} [meanx] - mean value
* @param {number} [meany] - mean value
* @throws {TypeError} first argument must be a number
* @throws {TypeError} second argument must be a number
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrpcorr2();
*
* var r2 = accumulator();
* // returns null
*
* r2 = accumulator( 2.0, 1.0 );
* // returns 0.0
*
* r2 = accumulator( -5.0, 3.14 );
* // returns ~1.0
*
* r2 = accumulator();
* // returns ~1.0
*
* @example
* var accumulator = incrpcorr2( 2.0, -3.0 );
*/
function incrpcorr2( meanx, meany ) {
var acc;
if ( arguments.length ) {
if ( !isNumber( meanx ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a number. Value: `%s`.', meanx ) );
}
if ( !isNumber( meany ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be a number. Value: `%s`.', meany ) );
}
acc = incrpcorr( meanx, meany );
} else {
acc = incrpcorr();
}
return accumulator;
/**
* If provided input values, the accumulator function returns an updated accumulated value. If not provided input values, the accumulator function returns the current accumulate value.
*
* @private
* @param {number} [x] - new value
* @param {number} [y] - new value
* @returns {(number|null)} squared sample correlation coefficient or null
*/
function accumulator( x, y ) {
var r;
if ( arguments.length === 0 ) {
r = acc();
if ( r === null ) {
return r;
}
return r * r;
}
r = acc( x, y );
return r * r;
}
}
// EXPORTS //
module.exports = incrpcorr2;
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