Taguchi Design Options
The Taguchi Design red triangle menu contains options for design setup and generation.
Save Responses
Saves the information in the Responses panel to a new data table. You can then quickly load the responses and their associated information into most DOE windows. This option is helpful if you anticipate reusing the responses.
Load Responses
Loads responses from a data table. Generate a response table using the Save Responses option.
Save Factors
Saves the information in the Factors panel to a new data table. Each factor’s column contains its levels. Other information is stored as column properties. You can then quickly load the factors and their associated information into most DOE windows.
Note: It is possible to create a factors table by entering data into an empty table, but remember to assign each column an appropriate Design Role. Do this by right-clicking on the column name in the data grid and selecting Column Properties > Design Role. In the Design Role area, select the appropriate role.
Load Factors
Loads factors from a data table. Generate a factor table using the Save Factors option. If you load factors that are inconsistent with a design type, an alert appears.
Save Constraints
(Not available for some designs.) Saves factor constraints that you defined in the Define Factor Constraints or Linear Constraints outline into a data table, with a column for each constraint. You can then quickly load the constraints into most DOE windows.
In the constraint table, the first rows contain the coefficients for each factor. The last row contains the inequality bound. Each constraint’s column contains a column property called ConstraintState that identifies the constraint as a “less than” or a “greater than” constraint. See “ConstraintState”.
Load Constraints
(Not available for some designs.) Loads factor constraints from a data table. Generate a constraints table using the Save Constraints option.
Set Random Seed
Sets the random seed that JMP uses to control actions that have a random component. These actions include one or more of the following:
– initializing search algorithms for design generation
– randomizing Run Order for design construction
– selecting a starting design for designs based on random starts
To reproduce a design, enter the random seed that generated the design before clicking Make Design.
The random seed associated with a design is included in the DOE Dialog script that is saved to the design data table.
Simulate Responses
Adds simulated response values and a column containing a simulation formula to the design table. Select this option before you click Make Table.
When you click Make Table, the following occur:
– A set of simulated response values is added to each response column.
– For each response, a new column that contains a simulation model formula is added to the design table. The formula is based on the model that is specified in the design window.
– A Model window appears where you can set the values of the model coefficients. You specify one of three distributions for the simulation: Normal, Binomial, or Poisson. Select the distribution based on your response (continuous, dichotomous, or count).
Note: Not all distributions are available for all design types.
– A script called DOE Simulate is saved to the design table. This script reopens the Model window, enabling you to re-simulate values or to make changes to the simulated response distribution.
Make selections in the Model window to control the distribution of simulated response values. When you click Apply, a formula for the simulated response values is saved in a new column called <Y> Simulated, where Y is the name of the response. Clicking Apply again updates the formula and values in <Y> Simulated.
For additional details, see “Simulate Responses”.
Note: 
You can use Simulate Responses to conduct simulation analyses using the JMP Pro Simulate feature. For more information and DOE examples, see “Simulate” in Basic Analysis.