The following options are available in the Design Options outline.
Tip: Provide either the number of runs or the number of factors to define possible design structures.
Number of Runs
Defines the number of design runs.
Number of Factors
Defines the number of factors. Include a factor for the intercept and three to five fake factors.
Structure
Provides a list of possible structures for your design. The columns in this list are dependent on whether you set the number of runs or the number of factors.
Number of Groups
The number of groups in the design. The minimum is 2.
Group Size
The number of factors in each group.
Number of Runs
(Available if you set the number of factors) The number of runs in the design.
Number of Parameters
(If you set the number of runs.) The number of parameters in the design. The parameters include one intercept, your design factors, and the remaining parameters are assigned to fake factors.
Factors
Factor Name
The name for the intercept is fixed. The remaining factors can be renamed.
Role
Enables you to define a factor as continuous or categorical.
Lower
Enables you to set the lower limit of each factor.
Upper
Enables you to set the upper limit of each factor.
Group Structure
Shows factors that appear in each group.
Swap
Enables you to swap factors between groups.
Make Design
Generates the design.
Design
Displays the design matrix.
Make Table
Creates the GOSSD data table. The design table includes the following scripts:
Model
(Executes only if the Response column is populated.) Runs the DOE > Special Purpose > Group Orthogonal Supersaturated > Fit Group Orthogonal Supersaturated platform.
Doe Dialog
Re-creates the GOSSD Design window that you used to generate the design table.
GOSSD Structure
Shows the structure of the design (number of runs, number of parameters, number of groups, group size).
Multivariate
Runs the Analyze > Multivariate platform for the design factors.
Model Matrix
Contains the design matrix.
DOE Simulate
(Available when you simulate responses.) Launches the simulate window.
Design Evaluation
Correlation Matrix
Shows the matrix of correlations between effects.
Color Map on Correlations
Shows the absolute correlations between effects on a plot using an intensity scale. Includes a red triangle menu that contains an option to save the correlations to a data table.