Summary of Functions :: SAS/QC(R) 12.3 User's Guide

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	$\mi {factor}_1 \ldots \mi {factor}_ f$
Number of levels	FACTORS	$\mi {factor}_1 \ldots \mi {factor}_ f$ / NLEV=q
Design Size Specification
(one of the following)
Number of runs	SIZE	DESIGN=n
Fraction of one full replicate	SIZE	FRACTION=h
Number of run indexing factors	SIZE	NRUNFACS=m
Minimum number of runs	SIZE	DESIGN=MINIMUM
		or FRACTION=MAXIMUM
		or NRUNFACS=MINIMUM
Block Specification
(one of the following)
Number of blocks	BLOCKS	NBLOCKS=b
Block size	BLOCKS	SIZE=k
Number of block pseudo-factors	BLOCKS	NBLKFACS=s
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=r
Design with highest resolution	MODEL	RESOLUTION=MAXIMUM
Minimum aberration design	MODEL	EST=(…) <NONNEG=(…)> or RES=…
(up to dth-order interactions)		/ MINABS<(d)>

Table 7.2: Summary of Options for Searching the Design

Function	Statement	Option
Search for the Design
Allow maximum time of t seconds	PROC FACTEX	SECONDS=t or TIME=t
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 c times	OUTPUT OUT=SAS-data-set	DESIGNREP=c
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=p
p 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

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<(d)>
(up to dth-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 $\dots$ levelq)
Decoded factor levels	OUTPUT OUT=SAS-data-set	factor-name
(character type)		CVALS=(’level1’ $\dots$ ’levelq’)
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 $\dots$ levelb)
Decoded block levels	OUTPUT OUT=SAS-data-set	BLOCKNAME=block-name
(character type)		CVALS=(’level1’ $\dots$ ’levelb’)