itercurange

Create an iterator which iteratively computes a cumulative range.

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

Installation

npm install @stdlib/stats-iter-curange

Usage

var itercurange = require( '@stdlib/stats-iter-curange' );

itercurange( iterator )

Returns an iterator which iteratively computes a cumulative range.

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

var arr = array2iterator( [ 2.0, 1.0, 3.0, -7.0, -5.0 ] );
var it = itercurange( arr );

var r = it.next().value;
// returns 0.0

r = it.next().value;
// returns 1.0

r = it.next().value;
// returns 2.0

r = it.next().value;
// returns 10.0

r = it.next().value;
// returns 10.0

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 which type checks and handles non-numeric values accordingly.

Examples

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

// 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 range:
var it = itercurange( rand );

// Perform manual iteration...
var v;
while ( true ) {
    v = it.next();
    if ( typeof v.value === 'number' ) {
        console.log( 'range: %d', v.value );
    }
    if ( v.done ) {
        break;
    }
}

See Also

• @stdlib/stats-iter/cumax: create an iterator which iteratively computes a cumulative maximum value.
• @stdlib/stats-iter/cumean: create an iterator which iteratively computes a cumulative arithmetic mean.
• @stdlib/stats-iter/cumin: create an iterator which iteratively computes a cumulative minimum value.
• @stdlib/stats-iter/range: compute the range of all iterated values.

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

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.