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* @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; |