Summary of Functions

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

Number of levels

FACTORS

/ NLEV=

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=

Design with highest resolution

MODEL

RESOLUTION=MAXIMUM

Minimum aberration design

MODEL

EST=(...) <NONNEG=(...)> or RES=...

(up to th-order interactions)

 

/ MINABS<()>

Table 7.2 Summary of Options for Searching the Design

Function

Statement

Option

Search for the Design

Allow maximum time of seconds

PROC FACTEX

SECONDS= or TIME=

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 times

OUTPUT OUT=SAS-data-set

DESIGNREP=

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=

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<()>

(up to 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 level)

Decoded factor levels

OUTPUT OUT=SAS-data-set

factor-name

(character type)

 

CVALS=(’level1’ ’level)

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 level)

Decoded block levels

OUTPUT OUT=SAS-data-set

BLOCKNAME=block-name

(character type)

 

CVALS=(’level1’ ’level)