130 lines
3.4 KiB
Markdown
130 lines
3.4 KiB
Markdown
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<!--
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@license Apache-2.0
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Copyright (c) 2018 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# incrrss
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> Compute the [residual sum of squares][residual-sum-of-squares] (RSS) incrementally.
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<section class="intro">
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The [**residual sum of squares**][residual-sum-of-squares] (also referred to as the **sum of squared residuals** (SSR) and the **sum of squared errors** (SSE)) is defined as
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<!-- <equation class="equation" label="eq:residual_sum_of_squares" align="center" raw="\operatorname{RSS} = \sum_{i=0}^{n-1} (y_i - x_i)^2" alt="Equation for the residual sum of squares."> -->
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<div class="equation" align="center" data-raw-text="\operatorname{RSS} = \sum_{i=0}^{n-1} (y_i - x_i)^2" data-equation="eq:residual_sum_of_squares">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@78799028a150a44d463029bdb62ac870b1c1f9d4/lib/node_modules/@stdlib/stats/incr/rss/docs/img/equation_residual_sum_of_squares.svg" alt="Equation for the residual sum of squares.">
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<br>
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</div>
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<!-- </equation> -->
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</section>
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<!-- /.intro -->
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<section class="usage">
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## Usage
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```javascript
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var incrrss = require( '@stdlib/stats/incr/rss' );
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```
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#### incrrss()
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Returns an accumulator `function` which incrementally computes the [residual sum of squares][residual-sum-of-squares].
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```javascript
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var accumulator = incrrss();
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```
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#### accumulator( \[x, y] )
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If provided input values `x` and `y`, the accumulator function returns an updated [residual sum of squares][residual-sum-of-squares]. If not provided input values `x` and `y`, the accumulator function returns the current [residual sum of squares][residual-sum-of-squares].
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```javascript
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var accumulator = incrrss();
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var r = accumulator( 2.0, 3.0 );
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// returns 1.0
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r = accumulator( -1.0, -4.0 );
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// returns 10.0
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r = accumulator( -3.0, 5.0 );
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// returns 74.0
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r = accumulator();
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// returns 74.0
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```
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</section>
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<!-- /.usage -->
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<section class="notes">
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## Notes
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- 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.
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</section>
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<!-- /.notes -->
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<section class="examples">
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## Examples
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<!-- eslint no-undef: "error" -->
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```javascript
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var randu = require( '@stdlib/random/base/randu' );
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var incrrss = require( '@stdlib/stats/incr/rss' );
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var accumulator;
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var v1;
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var v2;
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var i;
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// Initialize an accumulator:
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accumulator = incrrss();
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// For each simulated datum, update the residual sum of squares...
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for ( i = 0; i < 100; i++ ) {
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v1 = ( randu()*100.0 ) - 50.0;
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v2 = ( randu()*100.0 ) - 50.0;
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accumulator( v1, v2 );
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}
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console.log( accumulator() );
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```
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</section>
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<!-- /.examples -->
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<section class="links">
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[residual-sum-of-squares]: https://en.wikipedia.org/wiki/Residual_sum_of_squares
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</section>
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<!-- /.links -->
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