## @stdlib/stats-base-nanrange 0.0.9 • Public • Published

# nanrange

Calculate the range of a strided array, ignoring NaN values.

The range is defined as the difference between the maximum and minimum values.

## Installation

npm install @stdlib/stats-base-nanrange

## Usage

var nanrange = require( '@stdlib/stats-base-nanrange' );

#### nanrange( N, x, stride )

Computes the range of a strided array x, ignoring NaN values.

var x = [ 1.0, -2.0, NaN, 2.0 ];
var N = x.length;

var v = nanrange( N, x, 1 );
// returns 4.0

The function has the following parameters:

The N and stride parameters determine which elements in x are accessed at runtime. For example, to compute the range of every other element in x,

var floor = require( '@stdlib/math-base-special-floor' );

var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
var N = floor( x.length / 2 );

var v = nanrange( N, x, 2 );
// returns 6.0

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Float64Array = require( '@stdlib/array-float64' );
var floor = require( '@stdlib/math-base-special-floor' );

var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var N = floor( x0.length / 2 );

var v = nanrange( N, x1, 2 );
// returns 6.0

#### nanrange.ndarray( N, x, stride, offset )

Computes the range of a strided array, ignoring NaN values and using alternative indexing semantics.

var x = [ 1.0, -2.0, NaN, 2.0 ];
var N = x.length;

var v = nanrange.ndarray( N, x, 1, 0 );
// returns 4.0

The function has the following additional parameters:

• offset: starting index for x.

While 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 for every other value in x starting from the second value

var floor = require( '@stdlib/math-base-special-floor' );

var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 2.0, 3.0, 4.0 ];
var N = floor( x.length / 2 );

var v = nanrange.ndarray( N, x, 2, 1 );
// returns 6.0

## Examples

var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var Float64Array = require( '@stdlib/array-float64' );
var nanrange = require( '@stdlib/stats-base-nanrange' );

var x;
var i;

x = new Float64Array( 10 );
for ( i = 0; i < x.length; i++ ) {
if ( randu() < 0.2 ) {
x[ i ] = NaN;
} else {
x[ i ] = round( (randu()*100.0) - 50.0 );
}
}
console.log( x );

var v = nanrange( x.length, x, 1 );
console.log( v );

## Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

#### Community ### Repository

github.com/stdlib-js/stats-base-nanrange

stdlib.io

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0.0.9

Apache-2.0

37.7 kB

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