jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/cjs/function/statistics/mad.js
2025-01-02 11:13:50 +08:00

70 lines
2.0 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.createMad = void 0;
var _array = require("../../utils/array.js");
var _factory = require("../../utils/factory.js");
var _improveErrorMessage = require("./utils/improveErrorMessage.js");
const name = 'mad';
const dependencies = ['typed', 'abs', 'map', 'median', 'subtract'];
const createMad = exports.createMad = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
let {
typed,
abs,
map,
median,
subtract
} = _ref;
/**
* Compute the median absolute deviation of a matrix or a list with values.
* The median absolute deviation is defined as the median of the absolute
* deviations from the median.
*
* Syntax:
*
* math.mad(a, b, c, ...)
* math.mad(A)
*
* Examples:
*
* math.mad(10, 20, 30) // returns 10
* math.mad([1, 2, 3]) // returns 1
* math.mad([[1, 2, 3], [4, 5, 6]]) // returns 1.5
*
* See also:
*
* median, mean, std, abs
*
* @param {Array | Matrix} array
* A single matrix or multiple scalar values.
* @return {*} The median absolute deviation.
*/
return typed(name, {
// mad([a, b, c, d, ...])
'Array | Matrix': _mad,
// mad(a, b, c, d, ...)
'...': function (args) {
return _mad(args);
}
});
function _mad(array) {
array = (0, _array.flatten)(array.valueOf());
if (array.length === 0) {
throw new Error('Cannot calculate median absolute deviation (mad) of an empty array');
}
try {
const med = median(array);
return median(map(array, function (value) {
return abs(subtract(value, med));
}));
} catch (err) {
if (err instanceof TypeError && err.message.includes('median')) {
throw new TypeError(err.message.replace('median', 'mad'));
} else {
throw (0, _improveErrorMessage.improveErrorMessage)(err, 'mad');
}
}
}
});