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@stdlib/stats

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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. --> # Cosine > Raised cosine 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 Cosine = require( '@stdlib/stats/base/dists/cosine/ctor' ); ``` #### Cosine( \[mu, s] ) Returns a [raised cosine][cosine-distribution] distribution object. ```javascript var cosine = new Cosine(); var mu = cosine.mean; // returns 0.0 ``` By default, `mu = 0.0` and `s = 1.0`. To create a distribution having a different `mu` (location parameter) and `s` (scale parameter), provide the corresponding arguments. ```javascript var cosine = new Cosine( 2.0, 4.0 ); var mu = cosine.mean; // returns 2.0 ``` * * * ## cosine A [raised cosine][cosine-distribution] distribution object has the following properties and methods... ### Writable Properties #### cosine.mu Location parameter of the distribution. ```javascript var cosine = new Cosine(); var mu = cosine.mu; // returns 0.0 cosine.mu = 3.0; mu = cosine.mu; // returns 3.0 ``` #### cosine.s Scale parameter of the distribution. `s` **must** be a positive number. ```javascript var cosine = new Cosine( 2.0, 4.0 ); var s = cosine.s; // returns 4.0 cosine.s = 3.0; s = cosine.s; // returns 3.0 ``` * * * ### Computed Properties #### Cosine.prototype.kurtosis Returns the [excess kurtosis][kurtosis]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var kurtosis = cosine.kurtosis; // returns ~-0.594 ``` #### Cosine.prototype.mean Returns the [expected value][expected-value]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var mu = cosine.mean; // returns 4.0 ``` #### Cosine.prototype.median Returns the [median][median]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var median = cosine.median; // returns 4.0 ``` #### Cosine.prototype.mode Returns the [mode][mode]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var mode = cosine.mode; // returns 4.0 ``` #### Cosine.prototype.skewness Returns the [skewness][skewness]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var skewness = cosine.skewness; // returns 0.0 ``` #### Cosine.prototype.stdev Returns the [standard deviation][standard-deviation]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var s = cosine.stdev; // returns ~4.338 ``` #### Cosine.prototype.variance Returns the [variance][variance]. ```javascript var cosine = new Cosine( 4.0, 12.0 ); var s2 = cosine.variance; // returns ~18.819 ``` * * * ### Methods #### Cosine.prototype.cdf( x ) Evaluates the [cumulative distribution function][cdf] (CDF). ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.cdf( 0.5 ); // returns ~0.165 ``` #### Cosine.prototype.logcdf( x ) Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF). ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.logcdf( 0.5 ); // returns ~-1.799 ``` #### Cosine.prototype.logpdf( x ) Evaluates the natural logarithm of the [probability density function][pdf] (PDF). ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.logpdf( 0.8 ); // returns ~-1.617 ``` #### Cosine.prototype.mgf( t ) Evaluates the [moment-generating function][mgf] (MGF). ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.mgf( 0.2 ); // returns ~1.555 ``` #### Cosine.prototype.pdf( x ) Evaluates the [probability density function][pdf] (PDF). ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.pdf( 2.0 ); // returns 0.25 ``` #### Cosine.prototype.quantile( p ) Evaluates the [quantile function][quantile-function] at probability `p`. ```javascript var cosine = new Cosine( 2.0, 4.0 ); var y = cosine.quantile( 0.9 ); // returns ~3.929 y = cosine.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 Cosine = require( '@stdlib/stats/base/dists/cosine/ctor' ); var cosine = new Cosine( 2.0, 4.0 ); var mean = cosine.mean; // returns 2.0 var median = cosine.median; // returns 2.0 var s2 = cosine.variance; // returns ~2.091 var y = cosine.cdf( 0.8 ); // returns ~0.221 ``` </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"> [cosine-distribution]: https://en.wikipedia.org/wiki/Raised_cosine_distribution [cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function [mgf]: https://en.wikipedia.org/wiki/Moment-generating_function [pdf]: https://en.wikipedia.org/wiki/Probability_density_function [quantile-function]: https://en.wikipedia.org/wiki/Quantile_function [expected-value]: https://en.wikipedia.org/wiki/Expected_value [kurtosis]: https://en.wikipedia.org/wiki/Kurtosis [median]: https://en.wikipedia.org/wiki/Median [mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29 [skewness]: https://en.wikipedia.org/wiki/Skewness [standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation [variance]: https://en.wikipedia.org/wiki/Variance </section> <!-- /.links -->