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* @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';
// MODULES //
var isPositiveInteger = require( '@stdlib/math/base/assert/is-positive-integer' );
var constantFunction = require( '@stdlib/utils/constant-function' );
var isfinite = require( '@stdlib/math/base/assert/is-finite' );
var round = require( '@stdlib/math/base/special/round' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var exp = require( '@stdlib/math/base/special/exp' );
var LN2 = require( '@stdlib/constants/float64/ln-two' );
var weights = require( './weights.js' );
// MAIN //
/**
* Returns a function for evaluating the cumulative distribution function (CDF) for the distribution of the Wilcoxon signed rank test statistic with `n` observations.
*
* @param {PositiveInteger} n - number of observations
* @returns {Function} CDF
*
* @example
* var cdf = factory( 8 );
* var y = cdf( 3.9 );
* // returns ~0.027
*
* y = cdf( 17.0 );
* // returns ~0.473
*/
function factory( n ) {
var mlim;
var pui;
if ( !isPositiveInteger( n ) || !isfinite( n ) ) {
return constantFunction( NaN );
}
pui = exp( -n * LN2 );
mlim = n * ( n + 1 ) / 2;
return cdf;
/**
* Evaluates the cumulative distribution function (CDF) for the distribution of the Wilcoxon signed rank test statistic.
*
* @private
* @param {number} x - input value
* @returns {Probability} evaluated CDF
*
* @example
* var y = cdf( 2 );
* // returns <number>
*/
function cdf( x ) {
var i;
var p;
if ( isnan( x ) ) {
return NaN;
}
if ( x < 0.0 ) {
return 0.0;
}
x = round( x );
if ( x >= mlim ) {
return 1.0;
}
p = 0;
for ( i = 0; i <= x; i++ ) {
p += weights( i, n ) * pui;
}
return p;
}
}
// EXPORTS //
module.exports = factory;
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