time-to-botec

Benchmark sampling in different programming languages
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README.md (4636B)


      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2020 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
     12 
     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 # dnanrange
     22 
     23 > Calculate the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values.
     24 
     25 <section class="intro">
     26 
     27 The [**range**][range] is defined as the difference between the maximum and minimum values.
     28 
     29 </section>
     30 
     31 <!-- /.intro -->
     32 
     33 <section class="usage">
     34 
     35 ## Usage
     36 
     37 ```javascript
     38 var dnanrange = require( '@stdlib/stats/base/dnanrange' );
     39 ```
     40 
     41 #### dnanrange( N, x, stride )
     42 
     43 Computes the [range][range] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
     44 
     45 ```javascript
     46 var Float64Array = require( '@stdlib/array/float64' );
     47 
     48 var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
     49 var N = x.length;
     50 
     51 var v = dnanrange( N, x, 1 );
     52 // returns 4.0
     53 ```
     54 
     55 The function has the following parameters:
     56 
     57 -   **N**: number of indexed elements.
     58 -   **x**: input [`Float64Array`][@stdlib/array/float64].
     59 -   **stride**: index increment for `x`.
     60 
     61 The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [range][range] of every other element in `x`,
     62 
     63 ```javascript
     64 var Float64Array = require( '@stdlib/array/float64' );
     65 var floor = require( '@stdlib/math/base/special/floor' );
     66 
     67 var x = new Float64Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] );
     68 var N = floor( x.length / 2 );
     69 
     70 var v = dnanrange( N, x, 2 );
     71 // returns 11.0
     72 ```
     73 
     74 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
     75 
     76 <!-- eslint-disable stdlib/capitalized-comments -->
     77 
     78 ```javascript
     79 var Float64Array = require( '@stdlib/array/float64' );
     80 var floor = require( '@stdlib/math/base/special/floor' );
     81 
     82 var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
     83 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     84 
     85 var N = floor( x0.length / 2 );
     86 
     87 var v = dnanrange( N, x1, 2 );
     88 // returns 6.0
     89 ```
     90 
     91 #### dnanrange.ndarray( N, x, stride, offset )
     92 
     93 Computes the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
     94 
     95 ```javascript
     96 var Float64Array = require( '@stdlib/array/float64' );
     97 
     98 var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
     99 var N = x.length;
    100 
    101 var v = dnanrange.ndarray( N, x, 1, 0 );
    102 // returns 4.0
    103 ```
    104 
    105 The function has the following additional parameters:
    106 
    107 -   **offset**: starting index for `x`.
    108 
    109 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [range][range] for every other value in `x` starting from the second value
    110 
    111 ```javascript
    112 var Float64Array = require( '@stdlib/array/float64' );
    113 var floor = require( '@stdlib/math/base/special/floor' );
    114 
    115 var x = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
    116 var N = floor( x.length / 2 );
    117 
    118 var v = dnanrange.ndarray( N, x, 2, 1 );
    119 // returns 6.0
    120 ```
    121 
    122 </section>
    123 
    124 <!-- /.usage -->
    125 
    126 <section class="notes">
    127 
    128 ## Notes
    129 
    130 -   If `N <= 0`, both functions return `NaN`.
    131 
    132 </section>
    133 
    134 <!-- /.notes -->
    135 
    136 <section class="examples">
    137 
    138 ## Examples
    139 
    140 <!-- eslint no-undef: "error" -->
    141 
    142 ```javascript
    143 var randu = require( '@stdlib/random/base/randu' );
    144 var round = require( '@stdlib/math/base/special/round' );
    145 var Float64Array = require( '@stdlib/array/float64' );
    146 var dnanrange = require( '@stdlib/stats/base/dnanrange' );
    147 
    148 var x;
    149 var i;
    150 
    151 x = new Float64Array( 10 );
    152 for ( i = 0; i < x.length; i++ ) {
    153     if ( randu() < 0.2 ) {
    154         x[ i ] = NaN;
    155     } else {
    156         x[ i ] = round( (randu()*100.0) - 50.0 );
    157     }
    158 }
    159 console.log( x );
    160 
    161 var v = dnanrange( x.length, x, 1 );
    162 console.log( v );
    163 ```
    164 
    165 </section>
    166 
    167 <!-- /.examples -->
    168 
    169 <section class="links">
    170 
    171 [range]: https://en.wikipedia.org/wiki/Range_%28statistics%29
    172 
    173 [@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
    174 
    175 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
    176 
    177 </section>
    178 
    179 <!-- /.links -->