Summary of Functions

Details of the FACTEX Procedure

Summary of Functions

Table 15.1 to Table 15.4 classify the FACTEX statements and options by function.

Table 15.1: Summary of Options for Specifying the Design

Function	Statement	Option
Factor Specification
Factor names	FACTORS	factor₁ ... factor_f
Number of levels	FACTORS	factor₁ ... 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)
non-negligible 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 d^th order interactions)		/ MINABS<(d)>

Table 15.2: 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 15.3: 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 (u)

Table 15.4: 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 (up to d^th EXAMINE ALIASING<(d)>

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 ... levelq)

Decoded factor levels OUTPUT OUT=SAS-data-set factor-name

(character type) CVALS=('level1' ... '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 ... levelb)

Decoded block levels OUTPUT OUT=SAS-data-set BLOCKNAME=block-name

(character type) CVALS=('level1' ... 'levelb')

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