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SAS/QC User's Guide |

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**F**

- FACTEX procedure
- block specification
- block specification options, summary
- design factor levels
- design size options, summary
- design size specification
- design specification options, summary
- examining design characteristics
- factor specification options, summary
- features
- getting started
- getting started examples
- invoking
- learning about FACTEX "Learning about the FACTEX Procedure"
- learning about FACTEX "Learning about the FACTEX Procedure"
- listing design factors
- model specification
- model specification options, summary
- output
- overview "Overview"
- overview "Overview"
- randomization
- replication
- resolution
- statement descriptions
- summary of functions "Summary of Functions"
- summary of functions "Summary of Functions"
- syntax "Syntax"
- syntax "Syntax"
- using interactively

- FACTEX procedure, BLOCKS statement
- NBLKFACS= option
- NBLKFACS=MAXIMUM option
- NBLOCKS= option
- NBLOCKS= option, examples "Example 15.12: Replicated Blocked Design with Partial Confounding"
- NBLOCKS= option, examples "Example of a Full Factorial Design in Two Blocks"
- NBLOCKS=MAXIMUM option
- SIZE= option
- SIZE=MINIMUM option

- FACTEX procedure, EXAMINE statement
- ALIASING option
- ALIASING option, example
- CONFOUNDING option
- DESIGN option
- DESIGN option, example

- FACTEX procedure, FACTORS statement
- example
- NLEV= option

- FACTEX procedure, MODEL statement
- ESTIMATE= option
- ESTIMATE= option, examples "Example 15.12: Replicated Blocked Design with Partial Confounding"
- ESTIMATE= option, examples "Example 15.2: Resolution IV Augmented Design"
- MINABS option "Minimum Aberration"
- MINABS option "MODEL Statement"
- MINABS option, example
- MINABS option, limitation
- NONNEGLIGIBLE= option
- RESOLUTION= option
- RESOLUTION= option, examples "Example 15.2: Resolution IV Augmented Design"
- RESOLUTION= option, examples "Example 15.4: Fold-Over Design"
- RESOLUTION= option, examples "Example of a Half-Fraction Factorial Design"
- RESOLUTION=MAX option
- RESOLUTION=MAX option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- RESOLUTION=MAX option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- RESOLUTION=MAX option, examples "Example of a Full Factorial Design in Two Blocks"

- FACTEX procedure, OUTPUT statement
- CVALS= option "Factor Variable Characteristics in the Output Data Set"
- CVALS= option "OUTPUT Statement"
- CVALS= option "OUTPUT Statement"
- CVALS= option, example
- decode design factors
- derived factors
- derived factors, examples "Example 15.10: Hyper-Graeco-Latin Square Design"
- derived factors, examples "Example 15.8: Mixed-Level Design Using Pseudo-Factors"
- DESIGNREP= option
- DESIGNREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- DESIGNREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- DESIGNREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- DESIGNREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- DESIGNREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- DESIGNREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- NOVALRAN option
- NVALS= option "Factor Variable Characteristics in the Output Data Set"
- NVALS= option "OUTPUT Statement"
- NVALS= option "OUTPUT Statement"
- NVALS= option, example
- OUT= option
- OUT= option, example
- POINTREP= option
- POINTREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- POINTREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- POINTREP= option, examples "Example 15.6: Two-Level Design with Design Replication and Point Replication"
- POINTREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- POINTREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- POINTREP= option, examples "Example 15.7: Mixed-Level Design Using Design Replication and Point Replication"
- RANDOMIZE= option
- RANDOMIZE= option, examples "Example 15.1: Completely Randomized Design"
- RANDOMIZE= option, examples "Example 15.5: Randomized Complete Block Design"
- RANDOMIZE= option, NOVALRAN option
- RANDOMIZE= option, seed
- recode block factor
- recode block factor levels, examples "Example 15.5: Randomized Complete Block Design"
- recode block factor levels, examples "Example of a Full Factorial Design in Two Blocks"
- recode design factor levels, examples "Example 15.5: Randomized Complete Block Design"
- recode design factor levels, examples "Example of a Half-Fraction Factorial Design"
- recode design factor levels, examples "Example of a Two-Level Full Factorial Design"

- FACTEX procedure, PROC FACTEX statement
- example
- NAMELEN option
- NOCHECK option "Example 15.11: Resolution IV Design with Minimum Aberration"
- NOCHECK option "PROC FACTEX Statement"
- NOCHECK option "Speeding up the Search"
- ODS tables
- SECONDS= option
- TIME= option "Example 15.11: Resolution IV Design with Minimum Aberration"
- TIME= option "PROC FACTEX Statement"

- FACTEX procedure, SIZE statement
- DESIGN= option
- DESIGN= option, examples "Example 15.2: Resolution IV Augmented Design"
- DESIGN= option, examples "Example of a Half-Fraction Factorial Design"
- DESIGN=MINIMUM option
- FRACTION= option
- FRACTION=MAXIMUM option
- NRUNFACS= option
- NRUNFACS=MINIMUM option

- factor names, defaults

- factor specification, FACTEX procedure
- factor names
- levels

- factorial designs
- balanced lattice
- efficiency
- finding "ADXPFF: List Available Fractional Factorial Designs"
- finding "ADXPFF: List Available Fractional Factorial Designs"
- fractional factorial, minimum aberration
- fractional factorial, theory
- macros for "ADXALIAS: Compute the Alias Structure"
- macros for "ADXALIAS: Compute the Alias Structure"
- macros for "ADXFFA: Analyze Fractional Factorial Designs"
- macros for "ADXFFD: Construct Fractional Factorial Designs"
- macros for "ADXPFF: List Available Fractional Factorial Designs"
- macros for "ADXPFF: List Available Fractional Factorial Designs"
- macros for "Fractional Factorial Design Macros: ADXFF File"
- mixed-level
- orthogonal
- replicate
- resolution

- factorial portion of CCD designs

- FACTORS statement, FACTEX procedure
- options summarized by function
- syntax

- factors, FACTEX procedure
- block factor "Block Factors"
- block factor "Types of Factors"
- block pseudo-factor "Block Factors"
- block pseudo-factor "Confounding Rules"
- block pseudo-factor "Types of Factors"
- derived factor
- design factor
- design factor coding
- design factor levels
- design factor names
- pseudo-factor
- run-indexing factor "Confounding Rules"
- run-indexing factor "Structure of General Factorial Designs"
- run-indexing factor "Types of Factors"
- types

- filling area underneath density
- histograms

- fold-over design, example

- folded normal distribution, histograms
- example

- FONT= option
- CUSUM procedure
- MACONTROL procedure
- PARETO procedure "Dictionary of Options"
- PARETO procedure "Dictionary of Options"
- SHEWHART procedure

- fonts, customizing

- fonts, Shewhart charts

- FORMCHAR= option
- PARETO procedure

- fractional factorial designs
- macros for "ADXALIAS: Compute the Alias Structure"
- macros for "ADXFFA: Analyze Fractional Factorial Designs"
- macros for "ADXFFD: Construct Fractional Factorial Designs"
- macros for "ADXPFF: List Available Fractional Factorial Designs"
- macros for "ADXPFF: List Available Fractional Factorial Designs"
- macros for "Fractional Factorial Design Macros: ADXFF File"

- FREQ= option
- PARETO procedure

- frequency data, Pareto charts

- frequency tables

- full inspection and ASN2 function

- functions
- AOQ2 "AOQ2 Function"
- AOQ2 "Evaluating Double-Sampling Plans"
- ASN2 "ASN2 Function"
- ASN2 "ASN2 Function"
- ASN2 "Evaluating Double-Sampling Plans"
- ATI2 "ATI2 Function"
- ATI2 "ATI2 Function"
- ATI2 "Evaluating Double-Sampling Plans"
- BAYESACT call "BAYESACT Call"
- BAYESACT call "BAYESACT Call"
- BAYESACT call "BAYESACT Call"
- C4 "C4 Function"
- C4 "C4 Function"
- C4 "Deriving Control Chart Constants"
- C4 "Deriving Control Chart Constants"
- CUSUMARL "CUSUMARL Function"
- CUSUMARL "CUSUMARL Function"
- D2 "D2 Function"
- D2 "D2 Function"
- D2 "Deriving Control Chart Constants"
- D2 "Evaluating Double-Sampling Plans"
- D3 "D3 Function"
- D3 "D3 Function"
- D3 "Deriving Control Chart Constants"
- D3 "Evaluating Double-Sampling Plans"
- EWMAARL "EWMAARL Function"
- EWMAARL "EWMAARL Function"
- for acceptance sampling
- for control chart analysis
- for sampling plans
- PROBACC2 "Evaluating Double-Sampling Plans"
- PROBACC2 "PROBACC2 Function"
- PROBACC2 "PROBACC2 Function"
- PROBBNML "Evaluating Single-Sampling Plans"
- PROBBNML "Evaluating Single-Sampling Plans"
- PROBBNML "PROBBNML Function"
- PROBBNML "PROBBNML Function"
- PROBHYPR "Evaluating Single-Sampling Plans"
- PROBHYPR "Evaluating Single-Sampling Plans"
- PROBHYPR "PROBHYPR Function"
- PROBHYPR "PROBHYPR Function"
- PROBHYPR "PROBHYPR Function"
- PROBMED "PROBMED Function"
- PROBMED "PROBMED Function"
- STDMED "STDMED Function"
- STDMED "STDMED Function"
- summary of

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