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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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 1x 1x 1x 1x 61x 61x 61x 61x 1x 1x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 1x 1x 3x 3x 3x 3x 29x 5x 29x 24x 24x 3x 3x 3x 3x 3x 24x 14x 14x 3x 3x 3x 3x 1x 1x 3x 3x 1x 1x 3x 3x 1x 1x 6x 6x 6x 6x 6x 6x 6x 1x 1x 3x 3x 3x 3x 1x 1x 6x 6x 6x 6x 6x 6x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | import { Group, Summary } from "./types"; /** * @param name - name of the summary * @param data - data to be processed * @param group - define whether the summary is for a sample or a population * @param rounded - (optional) decimal place to round off the values */ export default class Descriptive { name: string; data: Array<number>; group: Group; size: number; summary: Summary; private rounded: number|false; constructor (name: string, data: Array<number>, group: Group, rounded: number|false = false) { this.name = name; this.data = data; this.group = group; this.size = data.length; this.rounded = rounded; this.summary = { mean: this.mean(), median: this.median(), mode: this.mode(), max: this.max(), min: this.min(), variance: this.variance(), standardDeviation: this.standardDeviation() } } private sum(): number { console.log(this.data); var sum = this.data.reduce((sum, value) => sum + value, 0); return this.rounded ? parseFloat(sum.toFixed(this.rounded)): sum; } private mean(): number { var mean = this.data.reduce((sum, value) => sum + value, 0)/this.size; return this.rounded ? parseFloat(mean.toFixed(this.rounded)): mean; } private median(): number { var dataCopy: Array<number> = this.data; var sortedData: Array<number> = dataCopy.sort((a, b) => a - b); var median: number = 0; if (this.size % 2 == 0) { median = (sortedData[(this.size/2) - 1] + sortedData[(this.size/2)])/2; } else { median = sortedData[(this.size+1)/2 - 1]; } return median; } private mode(): Array<number> { var counts: Record<number, number> = {}; var modes: Array<number> = []; this.data.forEach((element) => { if (counts.hasOwnProperty(element)) { counts[element]++; } else { counts[element] = 1; } }); var modeCount = Object.entries(counts).reduce((mode, current) => mode[1] < current[1] ? current: mode)[1]; Object.entries(counts).forEach((count) => { if (count[1] == modeCount) { modes.push(Number(count[0])); } }); return modes; } private max(): number { return this.data.reduce((max, current) => current > max ? current: max); } private min(): number { return this.data.reduce((min, current) => current < min ? current: min); } private variance(): number { var variance = 0; if (this.group == "sample") { variance = this.sumOfSquareDeviations()/(this.size - 1); } else { variance = this.sumOfSquareDeviations()/(this.size); } return this.rounded ? parseFloat(variance.toFixed(this.rounded)): variance; } private standardDeviation(): number { var standardDeviation = Math.sqrt(this.variance()); return this.rounded ? parseFloat(standardDeviation.toFixed(this.rounded)): standardDeviation; } private sumOfSquareDeviations(): number { var squareDeviations = this.data.map((value) => Math.pow((value - this.mean()), 2)); var sumOfSD = squareDeviations.reduce((sum, value) => sum + value, 0); return this.rounded ? parseFloat(sumOfSD.toFixed(this.rounded)): sumOfSD; } // summary() { // return { // mean: this.mean(), // median: this.median(), // mode: this.mode(), // max: this.max(), // min: this.min(), // variance: this.variance(), // standardDeviation: this.standardDeviation() // } // } } |