RANDOM Process

To access this process:

See this process in the Command Table.

Process Overview

Generate random numbers. RANDOM is similar to (and supersedes) the legacy MONACO process.

The type of random distribution is primarily dictated by DISTRIB. Each option supports either one or two parameters (P1 and P2).

1—Produce random numbers using a uniform distribution with minimum P1 and maximum P2.
2—Produce random numbers using an exponential distribution with rate P1.
3—Produce random numbers using a normal distribution with mean P1 and standard deviation P2.
4—Produce random numbers using a Laplacian distribution with location P1 and scale parameter P2.
5—Produce random numbers using a Weibull distribution with shape parameter P1 and scale parameter P2.
6— Produce random numbers using a Cauchy distribution with location P1 and scale parameter P2.
7—Produce random numbers using a lognormal distribution with log mean P1 and log standard deviation P2.

Note: you can also generate random numbers using the EXTRA process.

Name	Description	I/O Status	Required	Type
OUT	Output file containing random values.	Output	Yes	Table

Name	Description	Source	Required	Type	Default
OUTFIELD	Field to write the random variables into.	IN	No	Any	Undefined

Name	Description	Required	Default	Range	Values
NRECS	Number of records required in output file	Yes	1	Undefined	Undefined
DISTRIB	Type of distribution to use to generate random numbers. See "Distribution Options" above.	Yes	1	1,7	1,2,3,4,5,6,7
P1	First parameter of the chosen distribution.	Yes	0	Undefined	Undefined
P2	Second parameter of the chosen distribution. Ignored if DISTRIB=2.	No	1	Undefined	Undefined
SEED	Random number seed. If the same non-zero seed is used for multiple runs then the same set of random numbers will be generated. If SEED is zero, subsequent results with the same parameters will differ.	No	0	Undefined	Undefined