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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 32x 32x 32x 4x 4x 32x 4x 4x 32x 1x 1x 32x 1x 1x 32x 1x 1x 21x 21x 32x 4x 4x 17x 17x 17x 32x 3x 3x 3x | /** * @license Apache-2.0 * * Copyright (c) 2025 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var svarianceyc = require( '@stdlib/stats/base/svarianceyc' ).ndarray; var sqrtf = require( '@stdlib/math/base/special/sqrtf' ); var accessors = require( './accessors.js' ); // MAIN // /** * Computes the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer. * * @param {PositiveInteger} N - number of indexed elements * @param {number} correction - degrees of freedom adjustment (e.g., 0 for population, 1 for sample) * @param {Float32Array|ArrayLikeObject} x - input array-like object * @param {integer} stride - stride length * @param {NonNegativeInteger} offset - starting index * @returns {number} standard deviation * * @example * var Float32Array = require( '@stdlib/array/float32' ); * * var x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] ); * var v = sstdevyc( 5, 1, x, 1, 0 ); * // returns ~3.1623 */ function sstdevyc( N, correction, x, stride, offset ) { // Input validation if (!Number.isInteger(N) || N <= 0) { return NaN; } if (!Number.isFinite(correction) || correction < 0 || correction >= N) { return NaN; } if (!Number.isInteger(stride)) { return NaN; } if (!Number.isInteger(offset) || offset < 0) { return NaN; } if (!x || typeof x !== 'object') { return NaN; } // Check for accessor protocol (only `get` is required for reading) if (typeof x.get === 'function') { return accessors( N, x.get, x, stride, correction ); } // Fallback to variance-based computation for non-accessor arrays return sqrtf( svarianceyc( N, correction, x, stride, offset ) ); } // EXPORTS // module.exports = sstdevyc; |