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Standard library statistical functions.

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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. --> # Cauchy > Cauchy distribution constructor. <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> <section class="intro"> </section> <!-- /.intro --> <!-- Package usage documentation. --> <section class="usage"> ## Usage ```javascript var Cauchy = require( '@stdlib/stats/base/dists/cauchy/ctor' ); ``` #### Cauchy( \[x0, gamma] ) Returns a [Cauchy][cauchy-distribution] distribution object. ```javascript var cauchy = new Cauchy(); var median = cauchy.median; // returns 0.0 ``` By default, `x0 = 0.0` and `gamma = 1.0`. To create a distribution having a different `x0` (location parameter) and `gamma` (scale parameter), provide the corresponding arguments. ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var median = cauchy.median; // returns 2.0 ``` * * * ## cauchy A [Cauchy][cauchy-distribution] distribution object has the following properties and methods... ### Writable Properties #### cauchy.x0 Location parameter of the distribution. ```javascript var cauchy = new Cauchy(); var x0 = cauchy.x0; // returns 0.0 cauchy.x0 = 3.0; x0 = cauchy.x0; // returns 3.0 ``` #### cauchy.gamma Scale parameter of the distribution. `gamma` **must** be a positive number. ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var gamma = cauchy.gamma; // returns 4.0 cauchy.gamma = 3.0; gamma = cauchy.gamma; // returns 3.0 ``` * * * ### Computed Properties #### Cauchy.prototype.entropy Returns the [differential entropy][entropy]. ```javascript var cauchy = new Cauchy( 4.0, 12.0 ); var entropy = cauchy.entropy; // returns ~5.016 ``` #### Cauchy.prototype.median Returns the [median][median]. ```javascript var cauchy = new Cauchy( 4.0, 12.0 ); var median = cauchy.median; // returns 4.0 ``` #### Cauchy.prototype.mode Returns the [mode][mode]. ```javascript var cauchy = new Cauchy( 4.0, 12.0 ); var mode = cauchy.mode; // returns 4.0 ``` * * * ### Methods #### Cauchy.prototype.cdf( x ) Evaluates the [cumulative distribution function][cdf] (CDF). ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var y = cauchy.cdf( 0.5 ); // returns ~0.386 ``` #### Cauchy.prototype.logcdf( x ) Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF). ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var y = cauchy.logcdf( 0.5 ); // returns ~-0.952 ``` #### Cauchy.prototype.logpdf( x ) Evaluates the natural logarithm of the [probability density function][pdf] (PDF). ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var y = cauchy.logpdf( 0.8 ); // returns ~-2.617 ``` #### Cauchy.prototype.pdf( x ) Evaluates the [probability density function][pdf] (PDF). ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var y = cauchy.pdf( 0.8 ); // returns ~0.073 ``` #### Cauchy.prototype.quantile( p ) Evaluates the [quantile function][quantile-function] at probability `p`. ```javascript var cauchy = new Cauchy( 2.0, 4.0 ); var y = cauchy.quantile( 0.5 ); // returns 2.0 y = cauchy.quantile( 1.9 ); // returns NaN ``` </section> <!-- /.usage --> <!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> <section class="notes"> </section> <!-- /.notes --> <!-- Package usage examples. --> * * * <section class="examples"> ## Examples <!-- eslint no-undef: "error" --> ```javascript var Cauchy = require( '@stdlib/stats/base/dists/cauchy/ctor' ); var cauchy = new Cauchy( 2.0, 4.0 ); var entropy = cauchy.entropy; // returns ~3.917 var median = cauchy.median; // returns 2.0 var mode = cauchy.mode; // returns 2.0 var y = cauchy.cdf( 0.8 ); // returns ~0.407 ``` </section> <!-- /.examples --> <!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> <section class="references"> </section> <!-- /.references --> <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> <section class="related"> </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"> [cauchy-distribution]: https://en.wikipedia.org/wiki/Cauchy_distribution [cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function [pdf]: https://en.wikipedia.org/wiki/Probability_density_function [quantile-function]: https://en.wikipedia.org/wiki/Quantile_function [entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29 [median]: https://en.wikipedia.org/wiki/Median [mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29 </section> <!-- /.links -->