@stdlib/stats-iter-midrange NPM

itermidrange

Compute the mid-range of all iterated values.

The mid-range, or mid-extreme, is the arithmetic mean of maximum and minimum values. Accordingly, the mid-range is the midpoint of the range and a measure of central tendency.

Installation

npm install @stdlib/stats-iter-midrange

Usage

var itermidrange = require( '@stdlib/stats-iter-midrange' );

itermidrange( iterator )

Computes the mid-range of all iterated values.

var array2iterator = require( '@stdlib/array-to-iterator' );

var arr = array2iterator( [ 1.0, -2.0, 3.0, -4.0 ] );

var v = itermidrange( arr );
// returns -0.5

Notes

If an iterated value is non-numeric (including NaN), the returned iterator returns NaN. If non-numeric iterated values are possible, you are advised to provide an iterator which type checks and handles non-numeric values accordingly.

Examples

var runif = require( '@stdlib/random-iter-uniform' );
var itermidrange = require( '@stdlib/stats-iter-midrange' );

// Create an iterator for generating uniformly distributed pseudorandom numbers:
var rand = runif( -10.0, 10.0, {
    'seed': 1234,
    'iter': 100
});

// Compute the mid-range:
var v = itermidrange( rand );
// returns <number>

console.log( 'mid-range: %d.', 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.