ndarray.js (1802B)
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 float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' ); 24 var svariancetk = require( './../../../base/svariancetk' ).ndarray; 25 var sqrt = require( '@stdlib/math/base/special/sqrt' ); 26 27 28 // MAIN // 29 30 /** 31 * Computes the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm. 32 * 33 * @param {PositiveInteger} N - number of indexed elements 34 * @param {number} correction - degrees of freedom adjustment 35 * @param {Float32Array} x - input array 36 * @param {integer} stride - stride length 37 * @param {NonNegativeInteger} offset - starting index 38 * @returns {number} standard deviation 39 * 40 * @example 41 * var Float32Array = require( '@stdlib/array/float32' ); 42 * var floor = require( '@stdlib/math/base/special/floor' ); 43 * 44 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); 45 * var N = floor( x.length / 2 ); 46 * 47 * var v = sstdevtk( N, 1, x, 2, 1 ); 48 * // returns 2.5 49 */ 50 function sstdevtk( N, correction, x, stride, offset ) { 51 return float64ToFloat32( sqrt( svariancetk( N, correction, x, stride, offset ) ) ); // eslint-disable-line max-len 52 } 53 54 55 // EXPORTS // 56 57 module.exports = sstdevtk;