Distribution Functions




random() double

Returns a uniformly distributed double number, greater than or equal to 0.0 and less than 1.0.


randomNormal() double

Returns a normally distributed double number, with a mean value of 0.0 and standard deviation 1.0.


randomItem([object] c | map m) string

Returns a random element from a collection or map using the uniform distribution.

The probability of each element to be selected is 1/c.size() or 1/m.size() respectively.

Returns the selected element converted to string format. For maps, the returned object is a key-value object.

Input collection can contain elements of any type, such as strings or numbers, and can be specified as follows:

String Collection

randomItem(['a', 'b', 'c'])

Number Collection

randomItem([1, 2, 3])

Note that although the input collection contains numbers, the returned element is a string which has to be parsed to a number if necessary.

randomItem([1, 2, 3]) = '2'
Double.parseDouble(randomItem([1, 2, 3])) >= 2

Named Collection

Named collections are listed on the Data > Named Collections page.

Assuming the collection contains the following records and the 2nd entry is randomly selected:

John Doe
Mary Jones
Jack Smith
// returns Mary Jones

Key-Value Map

Key-value maps can be loaded with the replacementTable function.

The replacement tables are listed on the Data > Replacement Tables page.

Assuming the replacement table contains the following rows and the second entry is randomly selected:

John Doe  =(800) 555-0100
Mary Jones=(800) 555-0200
Jack Smith=(800) 555-0300
// returns Mary Jones
// returns (800) 555-0200
/* Returns a key-value object consisting of string key and string value
The object fields can be accessed with .key and .value methods. */
selItem = randomItem(replacementTable('oncall-person'))
selKey = selItem.key


randomKey(map m) string

Returns a random element from the specified map m of objects using uniform distribution.

The keys in the map can be of any type, whereas the values must be numeric and represent probabilities of the given key to be selected.

The function returns the randomly selected key converted to string.

The sum of probabilities does not have to equal 1.0 as the inputs are weighted to total 1.0.

An input map can be obtained using the replacementTable() lookup function.


Replacement tables are listed on the Data > Replacement Tables page.

Assuming the table contains the following records, the second element has a 20% chance of being selected:

John Doe=0.5
Mary Jones=0.2
Jack Smith=0.3

The excludeKeys function can be used to remove some elements from the input map prior to invoking the randomKey function.

randomKey(excludeKeys(replacementTable('oncall-person'),['Jack Smith']))