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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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var strided = require( '@stdlib/stats/strided/stdev' ).ndarray;
// MAIN //
/**
* Computes the standard deviation of a one-dimensional ndarray.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {number} standard deviation
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
*
* var opts = {
* 'dtype': 'float64'
* };
*
* var xbuf = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
* var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 2 ], 1, 'row-major' );
*
* var correction = scalar2ndarray( 1.0, opts );
*
* var v = stdev( [ x, correction ] );
* // returns 2.5
*/
function stdev( arrays ) {
var correction;
var stride;
var x;
var N;
x = arrays[ 0 ];
correction = ndarraylike2scalar( arrays[ 1 ] );
N = numelDimension( x, 0 );
stride = getStride( x, 0 );
return strided( N, correction, getData( x ), stride, getOffset( x ) );
}
// EXPORTS //
module.exports = stdev;
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