1.
Open a data table that contains a design you want to augment. This example uses Reactor 8 Runs.jmp from the Design Experiment sample data folder installed with JMP.
2.
Select DOE > Augment Design to see the initial dialog for specifying factors and responses.
3.
Select Percent Reacted and click Y, Response.
4.
Select all other variables (except Pattern) and click X, Factor to identify the factors you want to use for the augmented design (Identify Response and Factors).
Identify Response and Factors
5.
Click OK to see the Augment Design panel shown in Choose an Augmentation Type.
Choose an Augmentation Type
7.
Click the Replicate button to see the dialog shown on the left in Reactor Data Design Augmented With Two Replicates. Enter the number of times you want JMP to perform each run, then click OK.
Reactor Data Design Augmented With Two Replicates
Prediction Profiler and Surface Plot
10.
Click Make Table to produce the design table shown in The Replicated Design.
The Replicated Design
1.
Open a data table that contains a design you want to augment. This example uses Reactor 8 Runs.jmp found in the Design Experiment sample data folder installed with JMP.
2.
Select DOE > Augment Design.
4.
If you want the original runs and the resulting augmented runs to be identified by a blocking factor, check the box beside Group new runs into separate block. (Choose an Augmentation Type shows the check box location directly under the Factors panel.)
5.
Click the Add Centerpoints button and type the number of center points you want to add. For this example, add two center points, and click OK.
6.
Click Make Table to see the data table in Design with Two Center Points Added.
Design with Two Center Points Added
1.
Open a data table that contains a design you want to augment. This example uses Reactor 8 Runs.jmp, found in the Design Experiment sample data folder installed with JMP.
2.
Select DOE > Augment Design.
4.
Check the box to the left of Group new runs into separate block. (Choose an Augmentation Type shows the check box location directly under the Factors panel.) This identifies the original runs and the resulting augmented runs with a blocking factor.
5.
Click the Fold Over button. A dialog appears that lists all the design factors.
7.
Click Make Table. The design data table that results lists the original set of runs as block 1 and the new (foldover) runs are block 2.
Listing of a Foldover Design On All Factors
1.
Open a data table that contains a design you want to augment. This example uses Reactor 8 Runs.jmp, from the Design Experiment sample data folder installed with JMP.
2.
Select DOE > Augment Design.
5.
Click Add Axial.
6.
Enter the axial values in units of the factors scaled from –1 to +1, then enter the number of center points you want. When you click OK, the augmented design includes the number of center points specified and constructs two axial points for each variable in the original design.
Entering Axial Values
7.
Click Make Table. The design table appears. Design Augmented With Two Center and Ten Axial Points shows a table augmented with two center points and two axial points for five variables.
Design Augmented With Two Center and Ten Axial Points
1.
Open a data table that contains a design you want to augment. This example uses Reactor Augment Data.jmp, from the Design Experiment sample data folder installed with JMP.
2.
Select DOE > Augment Design.
5.
Click the Augment button. The original number of runs (Viewing the Existing Design) appear in the Factor Design panel.
Viewing the Existing Design
7.
Click the Make Design button. The new number of runs (24 Total Runs) appear in the Design panel.
24 Total Runs
9.
Click Make Table to create the augmented design JMP table (The Augmented Design Table with New Runs) with the additional runs.
The Augmented Design Table with New Runs