time-to-botec/js/node_modules/@stdlib/stats/iter/midrange
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00
..
docs feat: add the node modules 2022-12-03 12:44:49 +00:00
lib feat: add the node modules 2022-12-03 12:44:49 +00:00
package.json feat: add the node modules 2022-12-03 12:44:49 +00:00
README.md feat: add the node modules 2022-12-03 12:44:49 +00:00

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.

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 );