# itermeanabs > Compute the [arithmetic mean][arithmetic-mean] of absolute values for all [iterated][mdn-iterator-protocol] values.
The [arithmetic mean][arithmetic-mean] of absolute values is defined as
Equation for the arithmetic mean of absolute values.
## Usage ```javascript var itermeanabs = require( '@stdlib/stats/iter/meanabs' ); ``` #### itermeanabs( iterator ) Computes the [arithmetic mean][arithmetic-mean] of absolute values for all [iterated][mdn-iterator-protocol] values. ```javascript var array2iterator = require( '@stdlib/array/to-iterator' ); var arr = array2iterator( [ 1.0, -2.0, -3.0, 4.0 ] ); var m = itermeanabs( arr ); // returns 2.5 ```
## Notes - If an iterated value is non-numeric (including `NaN`), the returned [`iterator`][mdn-iterator-protocol] returns `NaN`. 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 itermeanabs = require( '@stdlib/stats/iter/meanabs' ); // Create an iterator for generating uniformly distributed pseudorandom numbers: var rand = runif( -10.0, 10.0, { 'seed': 1234, 'iter': 100 }); // Compute the arithmetic mean of absolute values: var m = itermeanabs( rand ); // returns console.log( 'meanabs: %d.', m ); ```