<!-- @license Apache-2.0 Copyright (c) 2018 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. --> # incrstdev > Compute a [corrected sample standard deviation][sample-stdev] incrementally. <section class="intro"> The [corrected sample standard deviation][sample-stdev] is defined as <!-- <equation class="equation" label="eq:corrected_sample_standard_deviation" align="center" raw="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} ( x_i - \bar{x} )^2}" alt="Equation for the corrected sample standard deviation."> --> <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} ( x_i - \bar{x} )^2}" data-equation="eq:corrected_sample_standard_deviation"> <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@49d8cabda84033d55d7b8069f19ee3dd8b8d1496/lib/node_modules/@stdlib/stats/incr/stdev/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for the corrected sample standard deviation."> <br> </div> <!-- </equation> --> </section> <!-- /.intro --> <section class="usage"> ## Usage ```javascript var incrstdev = require( '@stdlib/stats/incr/stdev' ); ``` #### incrstdev( \[mean] ) Returns an accumulator `function` which incrementally computes a [corrected sample standard deviation][sample-stdev]. ```javascript var accumulator = incrstdev(); ``` If the mean is already known, provide a `mean` argument. ```javascript var accumulator = incrstdev( 3.0 ); ``` #### accumulator( \[x] ) If provided an input value `x`, the accumulator function returns an updated [corrected sample standard deviation][sample-stdev]. If not provided an input value `x`, the accumulator function returns the current [corrected sample standard deviation][sample-stdev]. ```javascript var accumulator = incrstdev(); var s = accumulator( 2.0 ); // returns 0.0 s = accumulator( 1.0 ); // => sqrt(((2-1.5)^2+(1-1.5)^2) / (2-1)) // returns ~0.7071 s = accumulator( 3.0 ); // => sqrt(((2-2)^2+(1-2)^2+(3-2)^2) / (3-1)) // returns 1.0 s = accumulator(); // returns 1.0 ``` </section> <!-- /.usage --> <section class="notes"> ## Notes - Input values are **not** type checked. If provided `NaN` or a value which, when used in computations, results in `NaN`, the accumulated value is `NaN` for **all** future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function. </section> <!-- /.notes --> <section class="examples"> ## Examples <!-- eslint no-undef: "error" --> ```javascript var randu = require( '@stdlib/random/base/randu' ); var incrstdev = require( '@stdlib/stats/incr/stdev' ); var accumulator; var v; var i; // Initialize an accumulator: accumulator = incrstdev(); // For each simulated datum, update the sample standard deviation... for ( i = 0; i < 100; i++ ) { v = randu() * 100.0; accumulator( v ); } console.log( accumulator() ); ``` </section> <!-- /.examples --> <section class="links"> [sample-stdev]: https://en.wikipedia.org/wiki/Standard_deviation </section> <!-- /.links -->