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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 sqrt = require( '@stdlib/math/base/special/sqrt' ); // Fixed "req" -> "require"
// MAIN //
/**
* Computes the standard deviation of a strided array using Welford's algorithm and accessors.
*
* @private
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @param {Object} x - input array object (with a `get` method)
* @param {integer} stride - stride length
* @param {NonNegativeInteger} offset - starting index
* @returns {number} standard deviation
*/
function stdevwd( N, correction, x, stride, offset ) {
var delta;
var mean;
var M2;
var ix;
var v;
var i;
if ( N <= correction ) {
return NaN;
}
if ( N === 1 ) {
return 0.0;
}
ix = offset;
mean = 0.0;
M2 = 0.0;
for ( i = 0; i < N; i++ ) {
v = x.get( ix );
delta = v - mean;
mean += delta / (i + 1);
M2 += delta * (v - mean);
ix += stride;
}
return sqrt( M2 / ( N - correction ) );
}
// EXPORTS //
module.exports = stdevwd; |