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Statistics in TypeScript
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export class Statistics { | |
private static ensureNotEmpty(arr: readonly number[]): void { | |
if (arr.length === 0) { | |
throw new Error("The array must not be empty."); | |
} | |
} | |
static asc(a: number, b: number): number { | |
return a - b; | |
} | |
static desc(a: number, b: number): number { | |
return b - a; | |
} | |
static sort(arr: readonly number[], dir = Statistics.asc): number[] { | |
return arr.slice().sort(dir); | |
} | |
static min(arr: readonly number[]): number { | |
Statistics.ensureNotEmpty(arr); | |
return Math.min(...arr); | |
} | |
static max(arr: readonly number[]): number { | |
Statistics.ensureNotEmpty(arr); | |
return Math.max(...arr); | |
} | |
static range(arr: readonly number[]): number { | |
return Statistics.max(arr) - Statistics.min(arr); | |
} | |
static sum(arr: readonly number[]): number { | |
return arr.reduce((x, y) => x + y, 0); | |
} | |
static mean(arr: readonly number[]): number { | |
Statistics.ensureNotEmpty(arr); | |
return Statistics.sum(arr) / arr.length; | |
} | |
static median(arr: readonly number[]): number { | |
Statistics.ensureNotEmpty(arr); | |
const center = Math.floor(arr.length / 2); | |
return Statistics.sort(arr)[center]; | |
} | |
static variance(arr: readonly number[]): number { | |
const mean = Statistics.mean(arr); | |
const squaredDiffs = arr.map((n) => Math.pow(n - mean, 2)); | |
return Statistics.mean(squaredDiffs); | |
} | |
static stddev(arr: readonly number[]): number { | |
return Math.sqrt(Statistics.variance(arr)); | |
} | |
} |
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