These sample files and code examples are provided by SAS Institute "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein. SAS is under no obligation to maintain or support the code.
The %ChoicEff autocall macro finds efficient experimental designs for choice experiments and evaluates choice designs.
The %MktAllo autocall macro manipulates data for an allocation choice experiment.
The %MktBal autocall macro creates factorial designs by using an algorithm that ensures that the design is perfectly balanced, or as close to perfectly balanced as possible.
The %MktBIBD autocall macro finds balanced incomplete block designs (BIBDs).
The %MktBlock autocall macro blocks a choice design or an ordinary linear experimental design.
The %MktBSize autocall macro suggests sizes for balanced incomplete block designs.
The %MktDes autocall macro creates efficient experimental designs.
The %MktDups autocall macro detects duplicate choice sets and duplicate alternatives within generic choice sets.
The %MktEval autocall macro evaluates an experimental design for a linear model and reports on balance and orthogonality.
The %MktEx autocall macro creates efficient factorial designs.
The %MktKey autocall macro creates expanded lists of variable names and creates an output data set.
The %MktLab autocall macro processes an experimental design and assigns the final variable names and levels.
The %MktMDiff autocall macro analyzes MaxDiff (maximum difference or best-worst) data.
The %MktMerge autocall macro merges a data set that contains a choice design with choice data.
The %MktOrth autocall macro lists some of the 100% orthogonal main-effects plans that the %MktEx macro can generate.
The %MktPPro autocall macro makes optimal partial-profile designs from block designs and orthogonal arrays.
The %MktRoll autocall macro constructs a choice design from a linear arrangement.
The %MktRuns autocall macro suggests reasonable sizes for experimental designs.
The %PHChoice autocall macro customizes the output from PROC PHREG for choice modeling.