@naturalcycles/js-lib
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Standard library for universal (browser + Node.js) javascript
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text/typescript
import { comparators } from '../array/sort.js'
import { _assert } from '../error/assert.js'
/**
* @returns Average of the array of numbers
*
* @example
*
* _average([1, 2, 3, 4])
* // 2.5
*/
export function _average(values: number[]): number {
_assert(values.length, '_average is called on empty array')
let total = 0
for (const n of values) total += n
return total / values.length
}
/**
* Same as _average, but safely returns null if input array is empty or nullish.
*/
export function _averageOrNull(values: number[] | undefined | null): number | null {
return values?.length ? _average(values) : null
}
/**
* valuesArray and weightsArray length is expected to be the same.
*/
export function _averageWeighted(values: number[], weights: number[]): number {
let numerator = 0
let denominator = 0
for (let i = 0; i < values.length; i++) {
numerator += values[i]! * weights[i]!
denominator += weights[i]!
}
return numerator / denominator
}
/**
* @example
*
* _percentile([1, 2, 3, 4], 50)
* // 2.5
*
* _percentile([1, 2, 3], 50)
* // 2
*
* _percentile([1, 2, 3], 100)
* // 3
*/
export function _percentile(values: number[], pc: number): number {
const sorted = values.sort(comparators.numericAsc)
// Floating pos in the range of [0; length - 1]
const pos = ((values.length - 1) * pc) / 100
const dec = pos % 1
const floorPos = Math.floor(pos)
const ceilPos = Math.ceil(pos)
return _averageWeighted([sorted[floorPos]!, sorted[ceilPos]!], [1 - dec, dec])
}
/**
* A tiny bit more efficient function than calling _percentile individually.
*/
export function _percentiles(values: number[], pcs: number[]): Record<number, number> {
const r = {} as Record<number, number>
const sorted = values.sort(comparators.numericAsc)
for (const pc of pcs) {
// Floating pos in the range of [0; length - 1]
const pos = ((values.length - 1) * pc) / 100
const dec = pos % 1
const floorPos = Math.floor(pos)
const ceilPos = Math.ceil(pos)
r[pc] = _averageWeighted([sorted[floorPos]!, sorted[ceilPos]!], [1 - dec, dec])
}
return r
}
/**
* @example
*
* _median([1, 2, 3])
* // 2
*
* _median([1, 2, 3, 4])
* // 2.5
*/
export function _median(values: number[]): number {
return _percentile(values, 50)
}