time-to-botec

Benchmark sampling in different programming languages
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README.md (6805B)


      1 <!--
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      3 @license Apache-2.0
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      5 Copyright (c) 2018 The Stdlib Authors.
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      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
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     11    http://www.apache.org/licenses/LICENSE-2.0
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     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
     17 limitations under the License.
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     19 -->
     20 
     21 # Cosine
     22 
     23 > Raised cosine distribution.
     24 
     25 <section class="usage">
     26 
     27 ## Usage
     28 
     29 ```javascript
     30 var cosine = require( '@stdlib/stats/base/dists/cosine' );
     31 ```
     32 
     33 #### cosine
     34 
     35 Raised cosine distribution.
     36 
     37 ```javascript
     38 var dist = cosine;
     39 // returns {...}
     40 ```
     41 
     42 The namespace contains the following distribution functions:
     43 
     44 <!-- <toc pattern="*+(cdf|pdf|mgf|quantile)*"> -->
     45 
     46 <div class="namespace-toc">
     47 
     48 -   <span class="signature">[`cdf( x, mu, s )`][@stdlib/stats/base/dists/cosine/cdf]</span><span class="delimiter">: </span><span class="description">raised cosine distribution cumulative distribution function.</span>
     49 -   <span class="signature">[`logcdf( x, mu, s )`][@stdlib/stats/base/dists/cosine/logcdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the cumulative distribution function (CDF) for a raised cosine distribution.</span>
     50 -   <span class="signature">[`logpdf( x, mu, s )`][@stdlib/stats/base/dists/cosine/logpdf]</span><span class="delimiter">: </span><span class="description">raised cosine distribution logarithm of probability density function (PDF).</span>
     51 -   <span class="signature">[`mgf( t, mu, s )`][@stdlib/stats/base/dists/cosine/mgf]</span><span class="delimiter">: </span><span class="description">raised cosine distribution moment-generating function.</span>
     52 -   <span class="signature">[`pdf( x, mu, s )`][@stdlib/stats/base/dists/cosine/pdf]</span><span class="delimiter">: </span><span class="description">raised cosine distribution probability density function (PDF).</span>
     53 -   <span class="signature">[`quantile( p, mu, s )`][@stdlib/stats/base/dists/cosine/quantile]</span><span class="delimiter">: </span><span class="description">raised cosine distribution quantile function.</span>
     54 
     55 </div>
     56 
     57 <!-- </toc> -->
     58 
     59 The namespace contains the following functions for calculating distribution properties:
     60 
     61 <!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->
     62 
     63 <div class="namespace-toc">
     64 
     65 -   <span class="signature">[`kurtosis( mu, s )`][@stdlib/stats/base/dists/cosine/kurtosis]</span><span class="delimiter">: </span><span class="description">raised cosine distribution excess kurtosis.</span>
     66 -   <span class="signature">[`mean( mu, s )`][@stdlib/stats/base/dists/cosine/mean]</span><span class="delimiter">: </span><span class="description">raised cosine distribution expected value.</span>
     67 -   <span class="signature">[`median( mu, s )`][@stdlib/stats/base/dists/cosine/median]</span><span class="delimiter">: </span><span class="description">raised cosine distribution median.</span>
     68 -   <span class="signature">[`mode( mu, s )`][@stdlib/stats/base/dists/cosine/mode]</span><span class="delimiter">: </span><span class="description">raised cosine distribution mode.</span>
     69 -   <span class="signature">[`skewness( mu, s )`][@stdlib/stats/base/dists/cosine/skewness]</span><span class="delimiter">: </span><span class="description">raised cosine distribution skewness.</span>
     70 -   <span class="signature">[`stdev( mu, s )`][@stdlib/stats/base/dists/cosine/stdev]</span><span class="delimiter">: </span><span class="description">raised cosine distribution standard deviation.</span>
     71 -   <span class="signature">[`variance( mu, s )`][@stdlib/stats/base/dists/cosine/variance]</span><span class="delimiter">: </span><span class="description">raised cosine distribution variance.</span>
     72 
     73 </div>
     74 
     75 <!-- </toc> -->
     76 
     77 The namespace contains a constructor function for creating a [raised cosine][cosine-distribution] distribution object.
     78 
     79 <!-- <toc pattern="*ctor*"> -->
     80 
     81 <div class="namespace-toc">
     82 
     83 -   <span class="signature">[`Cosine( [mu, s] )`][@stdlib/stats/base/dists/cosine/ctor]</span><span class="delimiter">: </span><span class="description">raised cosine distribution constructor.</span>
     84 
     85 </div>
     86 
     87 <!-- </toc> -->
     88 
     89 ```javascript
     90 var Cosine = require( '@stdlib/stats/base/dists/cosine' ).Cosine;
     91 
     92 var dist = new Cosine( 2.0, 4.0 );
     93 
     94 var y = dist.cdf( 0.5 );
     95 // returns ~0.165
     96 ```
     97 
     98 </section>
     99 
    100 <!-- /.usage -->
    101 
    102 <section class="examples">
    103 
    104 ## Examples
    105 
    106 <!-- TODO: better examples -->
    107 
    108 <!-- eslint no-undef: "error" -->
    109 
    110 ```javascript
    111 var objectKeys = require( '@stdlib/utils/keys' );
    112 var cosine = require( '@stdlib/stats/base/dists/cosine' );
    113 
    114 console.log( objectKeys( cosine ) );
    115 ```
    116 
    117 </section>
    118 
    119 <!-- /.examples -->
    120 
    121 <section class="links">
    122 
    123 [cosine-distribution]: https://en.wikipedia.org/wiki/Raised_cosine_distribution
    124 
    125 <!-- <toc-links> -->
    126 
    127 [@stdlib/stats/base/dists/cosine/ctor]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/ctor
    128 
    129 [@stdlib/stats/base/dists/cosine/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/kurtosis
    130 
    131 [@stdlib/stats/base/dists/cosine/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/mean
    132 
    133 [@stdlib/stats/base/dists/cosine/median]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/median
    134 
    135 [@stdlib/stats/base/dists/cosine/mode]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/mode
    136 
    137 [@stdlib/stats/base/dists/cosine/skewness]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/skewness
    138 
    139 [@stdlib/stats/base/dists/cosine/stdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/stdev
    140 
    141 [@stdlib/stats/base/dists/cosine/variance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/variance
    142 
    143 [@stdlib/stats/base/dists/cosine/cdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/cdf
    144 
    145 [@stdlib/stats/base/dists/cosine/logcdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/logcdf
    146 
    147 [@stdlib/stats/base/dists/cosine/logpdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/logpdf
    148 
    149 [@stdlib/stats/base/dists/cosine/mgf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/mgf
    150 
    151 [@stdlib/stats/base/dists/cosine/pdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/pdf
    152 
    153 [@stdlib/stats/base/dists/cosine/quantile]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/cosine/quantile
    154 
    155 <!-- </toc-links> -->
    156 
    157 </section>
    158 
    159 <!-- /.links -->