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184 changes: 184 additions & 0 deletions lib/node_modules/@stdlib/stats/incr/nanstdev/README.md
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<!--

@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."> -->

```math
s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} ( x_i - \bar{x} )^2}
```

<!-- <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/nanstdev' );
```

#### incrstdev( \[mean] )

Returns an accumulator `function` which incrementally computes a [corrected sample standard deviation][sample-stdev].

```javascript
var accumulator = incrnanstdev();
```

If the mean is already known, provide a `mean` argument.

```javascript
var accumulator = incrnanstdev( 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 = incrnanstdev();

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( NaN ); // Ignored
// return ~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`, It will be Ignored Automatically without any errors but 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 incrnanstdev = require( './../lib' );

var accumulator;
var s;
var v;
var i;

// Initialize an accumulator:
accumulator = incrnanstdev();

// For each simulated datum, update the corrected sample standard deviation...
for ( i = 0; i < 100; i++ ) {
v = randu() * 100.0;

// Introduce NaN values randomly to test the accumulator
if ( randu() < 0.1 ) { // 10% chance to insert NaN
v = NaN;
}

s = accumulator( v );
}
console.log( '\nFinal standard deviation: %d\n', accumulator() );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

- <span class="package-name">[`@stdlib/stats/incr/kurtosis`][@stdlib/stats/incr/kurtosis]</span><span class="delimiter">: </span><span class="description">compute a corrected sample excess kurtosis incrementally.</span>
- <span class="package-name">[`@stdlib/stats/incr/mean`][@stdlib/stats/incr/mean]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean incrementally.</span>
- <span class="package-name">[`@stdlib/stats/incr/mstdev`][@stdlib/stats/incr/mstdev]</span><span class="delimiter">: </span><span class="description">compute a moving corrected sample standard deviation incrementally.</span>
- <span class="package-name">[`@stdlib/stats/incr/skewness`][@stdlib/stats/incr/skewness]</span><span class="delimiter">: </span><span class="description">compute a corrected sample skewness incrementally.</span>
- <span class="package-name">[`@stdlib/stats/incr/summary`][@stdlib/stats/incr/summary]</span><span class="delimiter">: </span><span class="description">compute a statistical summary incrementally.</span>
- <span class="package-name">[`@stdlib/stats/incr/variance`][@stdlib/stats/incr/variance]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample variance incrementally.</span>

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[sample-stdev]: https://en.wikipedia.org/wiki/Standard_deviation

<!-- <related-links> -->

[@stdlib/stats/incr/kurtosis]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/kurtosis

[@stdlib/stats/incr/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/mean

[@stdlib/stats/incr/mstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/mstdev

[@stdlib/stats/incr/skewness]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/skewness

[@stdlib/stats/incr/summary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/summary

[@stdlib/stats/incr/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/variance

<!-- </related-links> -->

</section>

<!-- /.links -->
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/**
* @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.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var pkg = require( './../package.json' ).name;
var incrnanstdev = require( './../lib' );

// MAIN //

bench( pkg, function benchmark( b ) {
var f;
var i;
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
f = incrnanstdev();
if ( typeof f !== 'function' ) {
b.fail( 'should return a function' );
}
}
b.toc();
if ( typeof f !== 'function' ) {
b.fail( 'should return a function' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::accumulator', function benchmark( b ) {
var acc;
var v;
var i;

acc = incrnanstdev();

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = acc( randu() );
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::accumulator,known_mean', function benchmark( b ) {
var acc;
var v;
var i;

acc = incrnanstdev( 3.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = acc( randu() );
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( v !== v ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
});
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38 changes: 38 additions & 0 deletions lib/node_modules/@stdlib/stats/incr/nanstdev/docs/repl.txt
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{{alias}}( [mean] )
Returns an accumulator function which incrementally computes a corrected
sample standard deviation, ignoring `NaN` values.

If provided a value, the accumulator function returns an updated corrected
sample standard deviation. If not provided a value, the accumulator function
returns the current corrected sample standard deviation.

If provided `NaN` or a value which, when used in computations, results in
`NaN`, the value is ignored and does not affect future calculations.

Parameters
----------
mean: number (optional)
Known mean.

Returns
-------
acc: Function
Accumulator function.

Examples
--------
> var accumulator = {{alias}}();
> var s = accumulator()
null
> s = accumulator( 2.0 )
0.0
> s = accumulator( NaN )
0.0
> s = accumulator( -5.0 )
~4.95
> s = accumulator()
~4.95

See Also
--------
64 changes: 64 additions & 0 deletions lib/node_modules/@stdlib/stats/incr/nanstdev/docs/types/index.d.ts
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/*
* @license Apache-2.0
*
* Copyright (c) 2019 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.
*/

// TypeScript Version: 4.1

/// <reference types="@stdlib/types"/>

/**
* If provided a value, returns an updated corrected sample standard deviation; otherwise, returns the current corrected sample standard deviation.
*
* ## Notes
*
* - If provided `NaN` or a value which, when used in computations, the value is ignored and does not affect future calculations.
*
* @param x - value
* @returns corrected sample standard deviation
*/
type accumulator = ( x?: number ) => number | null;

/**
* Returns an accumulator function which incrementally computes a corrected sample standard deviation.
*
* @param mu - known mean
* @returns accumulator function
*
* @example
* var accumulator = incrstdev();
*
* var s = accumulator();
* // returns null
*
* s = accumulator( 2.0 );
* // returns 0.0
*
* s = accumulator( NaN );
* // returns 0.0
*
* s = accumulator( -5.0 );
* // returns ~4.95
*
* s = accumulator();
* // returns ~4.95
*/
declare function incrnanstdev( mu?: number ): accumulator;


// EXPORTS //

export = incrnanstdev;
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