180 lines
4.5 KiB
Markdown
180 lines
4.5 KiB
Markdown
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<!--
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@license Apache-2.0
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Copyright (c) 2020 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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# dnanrange
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> Calculate the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values.
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<section class="intro">
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The [**range**][range] is defined as the difference between the maximum and minimum values.
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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 dnanrange = require( '@stdlib/stats/base/dnanrange' );
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```
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#### dnanrange( N, x, stride )
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Computes the [range][range] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
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var N = x.length;
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var v = dnanrange( N, x, 1 );
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// returns 4.0
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```
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The function has the following parameters:
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- **N**: number of indexed elements.
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- **x**: input [`Float64Array`][@stdlib/array/float64].
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- **stride**: index increment for `x`.
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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`,
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var x = new Float64Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] );
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var N = floor( x.length / 2 );
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var v = dnanrange( N, x, 2 );
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// returns 11.0
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```
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Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
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<!-- eslint-disable stdlib/capitalized-comments -->
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
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var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
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var N = floor( x0.length / 2 );
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var v = dnanrange( N, x1, 2 );
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// returns 6.0
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```
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#### dnanrange.ndarray( N, x, stride, offset )
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Computes the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
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var N = x.length;
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var v = dnanrange.ndarray( N, x, 1, 0 );
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// returns 4.0
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```
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The function has the following additional parameters:
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- **offset**: starting index for `x`.
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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
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var x = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
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var N = floor( x.length / 2 );
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var v = dnanrange.ndarray( N, x, 2, 1 );
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// returns 6.0
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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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- If `N <= 0`, both functions return `NaN`.
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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 round = require( '@stdlib/math/base/special/round' );
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var Float64Array = require( '@stdlib/array/float64' );
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var dnanrange = require( '@stdlib/stats/base/dnanrange' );
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var x;
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var i;
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x = new Float64Array( 10 );
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for ( i = 0; i < x.length; i++ ) {
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if ( randu() < 0.2 ) {
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x[ i ] = NaN;
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} else {
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x[ i ] = round( (randu()*100.0) - 50.0 );
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}
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}
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console.log( x );
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var v = dnanrange( x.length, x, 1 );
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console.log( v );
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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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[range]: https://en.wikipedia.org/wiki/Range_%28statistics%29
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[@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
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[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
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</section>
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<!-- /.links -->
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