For the latest version of JMP Help, visit JMP.com/help.

Design of Experiments Guide > Nonlinear Designs > Nonlinear Design Options
Publication date: 09/28/2021

Nonlinear Design Options

The red triangle menu in the Nonlinear Design platform contains these options:

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

Not available.

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.

Load Factors

Not available.

Save Constraints

Not available.

Load Constraints

Not available.

Simulate Responses

Adds response values to the design table. Select this option before you click Make Table. Then, in the resulting design table, the response columns contain simulated values.

Note: To set a preference to always simulate responses, select File > Preferences > Platforms > DOE and select Simulate Responses.

Number of Starts

Sets the number of times that a nonlinear design is created using the quadrature method. Among the designs created, the platform selects the design that maximizes the optimality criterion.

Advanced Options > Number of Monte Carlo Samples

Sets the number of octahedra per sphere used in computing the optimality criterion. The default value is one octahedron. See Radial-Spherical Integration of the Optimality Criterion.

Advanced Options > N Monte Carlo Spheres

Sets the number of nonzero radius values used in computing the optimality criterion. The default is two. See Radial-Spherical Integration of the Optimality Criterion.

Note: If N Monte Carlo Spheres (the number of radii) is set to zero, then only the center point is used in the calculations. This gives a local design that is optimal for the initial values of the parameters. For some situations, this is adequate.

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