dsemyc.js (1536B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2020 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var dvarianceyc = require( './../../../base/dvarianceyc' ); 24 var sqrt = require( '@stdlib/math/base/special/sqrt' ); 25 26 27 // MAIN // 28 29 /** 30 * Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer. 31 * 32 * @param {PositiveInteger} N - number of indexed elements 33 * @param {number} correction - degrees of freedom adjustment 34 * @param {Float64Array} x - input array 35 * @param {integer} stride - stride length 36 * @returns {number} standard error of the mean 37 * 38 * @example 39 * var Float64Array = require( '@stdlib/array/float64' ); 40 * 41 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); 42 * var N = x.length; 43 * 44 * var v = dsemyc( N, 1, x, 1 ); 45 * // returns ~1.20185 46 */ 47 function dsemyc( N, correction, x, stride ) { 48 return sqrt( dvarianceyc( N, correction, x, stride ) / N ); 49 } 50 51 52 // EXPORTS // 53 54 module.exports = dsemyc;