|What's New Table of Contents|
The SAS ADX Interface for Design of Experiments includes enhancements related to response surface designs, mixture designs, general factorial designs, and split-plot designs. Furthermore, ADX can now import data from SAS data sets or external file formats, and it can export design information to SAS data sets or external file formats.
The SAS ADX Interface now enables you to:
ADX can now create designs based on Hartley's (1959) small response surface designs.
Variance dispersion graphs are generated in the design details so you can compare designs and choose the best number of center points. This option requires SAS/IML software.
Process variables can now be included in the creation and analysis of mixture designs. Mixture designs with process variables are created using the optimal design interface. The analysis will determine whether process variables are significant, but all such variables will be included in the optimization process. In the optimization tools, process variables are treated as fixed-level factors.
General factorial designs are designs that run all combinations of factor levels. In ADX, you can create general factorials with factors having any number of levels.
ADX can now create full factorial and two-level minimum aberration fractional factorial generalized split-plot designs as described in Huang, Chen, and Voelkel (1998).
ADX can import factor and response values from SAS data sets or external files. You can create the design in ADX and import solely the response information, or you can import both the factor levels and the response.
ADX can export design information to SAS data sets and external files for inclusion in a data warehouse. You can export variable information, experiment details, and values for the factors and response.
Access to external file formats requires SAS/ACCESS software.
Hartley, H. O. (1959), "Smallest Composite Designs for Quadratic Response Surfaces," Biometrics, 15, 611--624.
Huang, P., Chen, D., and Voelkel, J. O. (1998), "Minimum-Aberration Two-Level Split-Plot Designs," Technometrics, 40, 314--326.