PROC FACTEX: Summary of Functions

The FACTEX Procedure

Table 7.1 to Table 7.4 classify the statements and options in PROC FACTEX by function.

Table 7.1 Summary of Options for Specifying the Design
Function	Statement	Option
Factor Specification
Factor names	FACTORS	$\text{[math]}$
Number of levels	FACTORS	$\text{[math]}$ / NLEV= $\text{[math]}$
Design Size Specification
(one of the following)
Number of runs	SIZE	DESIGN= $\text{[math]}$
Fraction of one full replicate	SIZE	FRACTION= $\text{[math]}$
Number of run indexing factors	SIZE	NRUNFACS= $\text{[math]}$
Minimum number of runs	SIZE	DESIGN=MINIMUM
		or FRACTION=MAXIMUM
		or NRUNFACS=MINIMUM
Block Specification
(one of the following)
Number of blocks	BLOCKS	NBLOCKS= $\text{[math]}$
Block size	BLOCKS	SIZE= $\text{[math]}$
Number of block pseudo-factors	BLOCKS	NBLKFACS= $\text{[math]}$
Minimum block size	BLOCKS	NBLOCKS=MAXIMUM
		or SIZE=MINIMUM
		or NBLKFACS=MAXIMUM
Model Specification
(one of the following)
Estimated effects	MODEL	ESTIMATE=(effects)
Estimated effects and	MODEL	ESTIMATE=(effects)
nonnegligible effects		NONNEG=(nonnegligible-effects)
Design resolution number	MODEL	RESOLUTION= $\text{[math]}$
Design with highest resolution	MODEL	RESOLUTION=MAXIMUM
Minimum aberration design	MODEL	EST=(...) <NONNEG=(...)> or RES=...
(up to $\text{[math]}$ th-order interactions)		/ MINABS<( $\text{[math]}$ )>

Table 7.2 Summary of Options for Searching the Design
Function	Statement	Option
Search for the Design
Allow maximum time of $\text{[math]}$ seconds	PROC FACTEX	SECONDS= $\text{[math]}$ or TIME= $\text{[math]}$
Limit the design searches	PROC FACTEX	NOCHECK

Table 7.3 Summary of Options for Replicating and Randomizing the Design
Function	Statement	Option
Replication
Replicate entire design $\text{[math]}$ times	OUTPUT OUT=SAS-data-set	DESIGNREP= $\text{[math]}$
Replicate design for each point	OUTPUT OUT=SAS-data-set	DESIGNREP=SAS-data-set
in the data set
Replicate each point in design	OUTPUT OUT=SAS-data-set	POINTREP= $\text{[math]}$
$\text{[math]}$ times
Replicate data set for each point	OUTPUT OUT=SAS-data-set	POINTREP=SAS-data-set
in the design
Randomization
Randomize the design	OUTPUT OUT=SAS-data-set	RANDOMIZE
Randomize the design but not the	OUTPUT OUT=SAS-data-set	RANDOMIZE NOVALRAN
assignment of factor levels
Specify seed number	OUTPUT OUT=SAS-data-set	RANDOMIZE $\text{[math]}$

Table 7.4 Summary of Options for Examining and Saving the Design
Function	Statement	Option
List the Design
Coded factor and block levels	EXAMINE	DESIGN
List the Design Characteristics
Alias structure	EXAMINE	ALIASING<( $\text{[math]}$ )>
(up to $\text{[math]}$ th-order interactions)
Confounding rules	EXAMINE	CONFOUNDING
Save the Design
Coded factor levels	OUTPUT OUT=SAS-data-set
Decoded factor levels	OUTPUT OUT=SAS-data-set	factor-name
(numeric type)		NVALS=(level1 $\text{[math]}$ level $\text{[math]}$ )
Decoded factor levels	OUTPUT OUT=SAS-data-set	factor-name
(character type)		CVALS=(’level1’ $\text{[math]}$ ’level $\text{[math]}$ ’)
Block variable name	OUTPUT OUT=SAS-data-set	BLOCKNAME=block-name
Decoded block levels	OUTPUT OUT=SAS-data-set	BLOCKNAME=block-name
(numeric type)		NVALS=(level1 $\text{[math]}$ level $\text{[math]}$ )
Decoded block levels	OUTPUT OUT=SAS-data-set	BLOCKNAME=block-name
(character type)		CVALS=(’level1’ $\text{[math]}$ ’level $\text{[math]}$ ’)