# itercumidrange > Create an [iterator][mdn-iterator-protocol] which iteratively computes a cumulative [mid-range][mid-range].
The [**mid-range**][mid-range], or **mid-extreme**, is the arithmetic mean of maximum and minimum values. Accordingly, the [mid-range][mid-range] is the midpoint of the [range][range] and a measure of central tendency.
## Usage ```javascript var itercumidrange = require( '@stdlib/stats/iter/cumidrange' ); ``` #### itercumidrange( iterator ) Returns an [iterator][mdn-iterator-protocol] which iteratively computes a cumulative [mid-range][mid-range]. ```javascript var array2iterator = require( '@stdlib/array/to-iterator' ); var arr = array2iterator( [ 2.0, 1.0, 3.0, -7.0, -5.0 ] ); var it = itercumidrange( arr ); var v = it.next().value; // returns 2.0 v = it.next().value; // returns 1.5 v = it.next().value; // returns 2.0 v = it.next().value; // returns -2.0 v = it.next().value; // returns -2.0 ```
## Notes - If an iterated value is non-numeric (including `NaN`), the function returns `NaN` for **all** future iterations. If non-numeric iterated values are possible, you are advised to provide an [`iterator`][mdn-iterator-protocol] which type checks and handles non-numeric values accordingly.
## Examples ```javascript var runif = require( '@stdlib/random/iter/uniform' ); var itercumidrange = require( '@stdlib/stats/iter/cumidrange' ); // Create an iterator for generating uniformly distributed pseudorandom numbers: var rand = runif( -10.0, 10.0, { 'seed': 1234, 'iter': 100 }); // Create an iterator for iteratively computing a cumulative mid-range: var it = itercumidrange( rand ); // Perform manual iteration... var v; while ( true ) { v = it.next(); if ( typeof v.value === 'number' ) { console.log( 'mid-range: %d', v.value ); } if ( v.done ) { break; } } ```