All files / anova1/lib mean_table.js

51.25% Statements 41/80
100% Branches 1/1
0% Functions 0/1
51.25% Lines 41/80

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 811x 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  
/**
* @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( '@stdlib/stats/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;