time-to-botec/js/node_modules/@stdlib/stats/padjust/lib/holm.js
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

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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 min = require( '@stdlib/math/base/special/min' );
var cumax = require( './../../base/cumax' );
var Float64Array = require( '@stdlib/array/float64' );
var order = require( './order.js' );
// MAIN //
/**
* Adjusts the p-values via the BonferroniHolm method.
*
* @private
* @param {ProbabilityArray} pvalues - p-values to be adjusted
* @param {PositiveInteger} comparisons - number of comparisons
* @returns {ProbabilityArray} adjusted p-values
*/
function holm( pvalues, comparisons ) {
var indices;
var sorted;
var len;
var out;
var i;
len = pvalues.length;
indices = order( pvalues );
sorted = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
sorted[ i ] = ( comparisons - i ) * pvalues[ indices[ i ] ];
}
sorted = cumax( len, sorted, 1, sorted, 1 );
out = new Array( len );
for ( i = 0; i < len; i++ ) {
out[ indices[ i ] ] = min( sorted[ i ], 1.0 );
}
return out;
}
// EXPORTS //
module.exports = holm;