time-to-botec/js/node_modules/@stdlib/stats/anova1/lib/mean_table.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

81 lines
2.0 KiB
JavaScript

/**
* @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 incrstdev = require( './../../incr/stdev' );
// MAIN //
/**
* Computes the vector of means for each treatment.
*
* @private
* @param {NumericArray} x - measured values
* @param {Array} factor - array of treatments
* @param {Array} treats - unique treatments
* @returns {Object} summary statistics for the categories.
*/
function meanTable( x, factor, treats ) {
var tableOfMeans;
var factorCount;
var accumulator;
var newMean;
var j;
var i;
var k;
factorCount = treats.length;
tableOfMeans = {};
for ( j = 0; j < factorCount; j++ ) {
accumulator = incrstdev();
tableOfMeans[ treats[j] ] = {
'mean': 0,
'sampleSize': 0,
'SD': accumulator
};
for ( i = 0; i < x.length; i++ ) {
if ( factor[i] === treats[j] ) {
tableOfMeans[ treats[j] ][ 'SD' ] = accumulator( x[i] );
}
}
}
// Go through, add to meanTable by indexing factor[i]
// X[i] is the individual continuous
for ( i = 0; i < x.length; i++ ) {
tableOfMeans[factor[i]]['mean'] += x[i];
tableOfMeans[factor[i]]['sampleSize'] += 1;
}
// Now make the mean by dividing by the sample size
// Get the standard deviation through the helper function
for ( k = 0; k < factorCount; k++ ) {
newMean = tableOfMeans[treats[k]]['mean'] / tableOfMeans[treats[k]]['sampleSize'];
tableOfMeans[treats[k]]['mean'] = newMean;
}
return tableOfMeans;
}
// EXPORTS //
module.exports = meanTable;