@technobuddha/library/standardDeviation/standardDeviation.cjs

A large library of useful functions

"use strict";
var __read = (this && this.__read) || function (o, n) {
    var m = typeof Symbol === "function" && o[Symbol.iterator];
    if (!m) return o;
    var i = m.call(o), r, ar = [], e;
    try {
        while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);
    }
    catch (error) { e = { error: error }; }
    finally {
        try {
            if (r && !r.done && (m = i["return"])) m.call(i);
        }
        finally { if (e) throw e.error; }
    }
    return ar;
};
var __spreadArray = (this && this.__spreadArray) || function (to, from) {
    for (var i = 0, il = from.length, j = to.length; i < il; i++, j++)
        to[j] = from[i];
    return to;
};
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.standardDeviation = void 0;
var variance_1 = __importDefault(require("../variance"));
/**
 * Returns the sample standard deviation of the arguments.  For a definition of
 * sample standard deviation, see http://en.wikipedia.org/wiki/Standard_deviation
 *
 * @param datapoints samples to analyze.
 * @return The sample standard deviation of the arguments (0 if fewer
 * than two samples were provided, or NaN if any of the samples is
 * not a valid number).
 */
function standardDeviation() {
    var datapoints = [];
    for (var _i = 0; _i < arguments.length; _i++) {
        datapoints[_i] = arguments[_i];
    }
    return Math.sqrt(variance_1.default.apply(void 0, __spreadArray([], __read(datapoints))));
}
exports.standardDeviation = standardDeviation;
exports.default = standardDeviation;