Random Numbers
Context: Data transformation
Introduction
The primary purpose of these transformations is to generate data for the purpose of simulating an analysis. Use
!SEED
to fix the random generator seed if the same random numbers are required in different runs.
!NORMAL
and
!UNIFORM
generate random numbers at the residual level.
SETN
and
SETU
generate random numbers at the treatment level.
!NORMAL v
replaces the variate with normal random variables having
variance v .
For example,
Ndat !=0. !Normal 4.5
creates a new variable (
!=0.
) and fills it with Normal(0,4.5) random values.
These two transformations can be collapsed into one: viz.
Ndat !=Normal 4.5
!SEED n
sets the seed for the random number generator.
!SEED 848586
!SETN v n
replaces data values 1:n with normal random variables having
variance v . Data values outside the range 1 ... n
are set to 0.
Anorm !=A !SETN 2.5 10
replaces data values of 1 ... 10
(copied from variable
A
) with 10 Normal(0,2.5) random values.
!SETU v n
replaces data values 1:n with uniform random variables having
range 0:v . Data values outside the range 1 ... n
are set to 0.
Aeff !=A !SETU 5 10
replaces data values of 1, \cdots , 10
(copied from variable
A
) with 10 Uniform(0,5) random values.
!UNIFORM v
replaces the variate with uniform random variables having
range 0:v .
Udat !=0. !Uniform 4.5 +
creates a new variable
and fills it with Uniform(0,4.5) random values.
These two transformations can be collapsed into one: viz.
Udat !=Uniform 4.5
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