UNPKG

w-statistic

Version:
104 lines (92 loc) 2.55 kB
import size from 'lodash-es/size.js' import isarr from 'wsemi/src/isarr.mjs' import ispnum from 'wsemi/src/ispnum.mjs' import cdbl from 'wsemi/src/cdbl.mjs' import arrFilterByNum from 'wsemi/src/arrFilterByNum.mjs' import ss from './simpleStatistics.mjs' /** * 計算陣列內有效數字之分位數值 * * Unit Test: {@link https://github.com/yuda-lyu/w-statistic/blob/master/test/arrQuartile.test.js Github} * @memberOf w-statistic * @param {Array} arr 輸入陣列,只提取有效數字(或為字串的數字)進行計算 * @param {Number} ratio 輸入指定位置浮點數,需介於0至1之間 * @returns {Number} 回傳分位數值 * @example * * let arr * * arr = [3, 6, 7, 8, 8, 10, 13, 15, 16, 20] * console.log(arrQuartile(arr, 0.25)) * // => 7 * * arr = [3, 6, 7, 8, 8, 10, 13, 15, 16, 20] * console.log(arrQuartile(arr, 0.5)) * // => 9 * * arr = [3, 6, 7, 8, 8, 10, 13, 15, 16, 20] * console.log(arrQuartile(arr, 0.75)) * // => 15 * * arr = [1, 2, 3, 4, 5, 6] * console.log(arrQuartile(arr, 0.25)) * // => 2 * * arr = [3, 6, 7, 8, 8, 9, 10, 13, 15, 16, 20] * console.log(arrQuartile(arr, 0.5)) * // => 9 * * arr = [6, 47, 49, 15, 42, 41, 7, 39, 43, 40, 36] * console.log(arrQuartile(arr, 0.25)) * // => 15 * * arr = [6, 47, 49, 15, 42, 41, 7, 39, 43, 40, 36] * console.log(arrQuartile(arr, 0.5)) * // => 40 * * arr = [6, 47, 49, 15, 42, 41, 7, 39, 43, 40, 36] * console.log(arrQuartile(arr, 0.75)) * // => 43 * * arr = ['abc', '-2.5', -2.5, '-1', -1, '-0.1', -0.1, '0', 0, '0.1', 0.1, '1', 1, '2.5', 2.5, 22.5, 'xyz'] * console.log(arrQuartile(arr, 0.5)) * // => 0 * * arr = ['abc', '0', 0, '0.1', 0.1, '1', 1, '2.5', 2.5, 22.5, 'xyz'] * console.log(arrQuartile(arr, 0.5)) * // => 1 * */ function arrQuartile(arr, ratio) { //check arr if (!isarr(arr)) { return null } if (size(arr) === 0) { return null } //check ratio if (!ispnum(ratio)) { return null } ratio = cdbl(ratio) if (ratio < 0) { ratio = 0 } if (ratio > 1) { ratio = 1 } //rs let rs = arrFilterByNum(arr) //n let n = size(rs) //check if (n === 0) { return null } //quantile let r = ss.quantile(rs, ratio) //simple-statistics會取最靠近的陣列內原始數據值 // let r = jt.quantile(rs, ratio) //jStat會取該分位數 return r } export default arrQuartile