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Publication date: 04/30/2021

Specify Factors, Structure, and Make Design

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.

Verify Design and Make Table

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.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).