time-to-botec/js/node_modules/@stdlib/stats/base/variancech/lib/index.js

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/**
* @license Apache-2.0
*
* Copyright (c) 2020 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';
/**
* Compute the variance of a strided array using a one-pass trial mean algorithm.
*
* @module @stdlib/stats/base/variancech
*
* @example
* var variancech = require( '@stdlib/stats/base/variancech' );
*
* var x = [ 1.0, -2.0, 2.0 ];
* var N = x.length;
*
* var v = variancech( N, 1, x, 1 );
* // returns ~4.3333
*
* @example
* var floor = require( '@stdlib/math/base/special/floor' );
* var variancech = require( '@stdlib/stats/base/variancech' );
*
* var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
* var N = floor( x.length / 2 );
*
* var v = variancech.ndarray( N, 1, x, 2, 1 );
* // returns 6.25
*/
// MODULES //
var variancech = require( './main.js' );
// EXPORTS //
module.exports = variancech;