@stdlib/stats-base-ndarray-dnanmidrange
v0.1.1
Published
Compute the mid-range of a one-dimensional double-precision floating-point ndarray, ignoring NaN values.
Readme
dnanmidrange
Compute the mid-range of a one-dimensional double-precision floating-point ndarray, ignoring
NaNvalues.
The mid-range, or mid-extreme, is the arithmetic mean of the maximum and minimum values in a data set. The measure is the midpoint of the range and a measure of central tendency.
Installation
npm install @stdlib/stats-base-ndarray-dnanmidrangeUsage
var dnanmidrange = require( '@stdlib/stats-base-ndarray-dnanmidrange' );dnanmidrange( arrays )
Computes the mid-range of a one-dimensional double-precision floating-point ndarray, ignoring NaN values.
var Float64Array = require( '@stdlib/array-float64' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
var v = dnanmidrange( [ x ] );
// returns 0.0The function has the following parameters:
- arrays: array-like object containing a one-dimensional input ndarray.
Notes
- If provided an empty one-dimensional ndarray, the function returns
NaN.
Examples
var uniform = require( '@stdlib/random-base-uniform' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var bernoulli = require( '@stdlib/random-base-bernoulli' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var dnanmidrange = require( '@stdlib/stats-base-ndarray-dnanmidrange' );
function rand() {
if ( bernoulli( 0.8 ) < 1 ) {
return NaN;
}
return uniform( -50.0, 50.0 );
}
var xbuf = filledarrayBy( 10, 'float64', rand );
var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
var v = dnanmidrange( [ x ] );
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.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
