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/**
* @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()
// }
// }
}
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