Green Propagation of Errors Bars in the Prediction Profiler
where σy is the user-specified sigma for the response column, and σx is the user-specified sigma for the factor column.
centered, with δ=xrange/10000
Maximizing Desirability Based on a Function
First, create a column called MyDesire that contains the above formula. Then, select Graph > Profiler to launch the platform. Select all the Pred Formula columns and the MyDesire column and select Y, Prediction Formula. Turn on the desirability functions by selecting Desirability Functions from the red triangle menu. All the desirability functions for the individual effects must be turned off. To do this, first double-click in a desirability plot window, then select None in the window that appears (Selecting No Desirability Goal). Set the desirability for MyDesire to be maximized.
Selecting No Desirability Goal
At this point, selecting Maximize Desirability uses only the custom MyDesire function.
Maximized Custom Desirability
For example, when Fit Model fits a logistic regression for two levels (say A and B), the end formulas (Prob[A] and Prob[B]) are functions of the Lin[x] column, which itself is a function of another column x. If Expand Intermediate Formulas is selected, then when Prob[A] is profiled, it is with reference to x, not Lin[x].
To enter linear constraints via the red triangle menu, select Alter Linear Constraints from either the Prediction Profiler or Custom Profiler red triangle menu.
Choose Add Constraint from the resulting window, and enter the coefficients into the appropriate boxes. For example, to enter the constraint p1 + 2*p2  0.9, enter the coefficients as shown in Enter Coefficients. As shown, if you are profiling factors from a mixture design, the mixture constraint is present by default and cannot be modified.
Enter Coefficients
After you click OK, the Profiler updates the profile traces, and the constraint is incorporated into subsequent analyses and optimizations.
If you add constraints in one profiler and want to make them accessible by other profilers, use the Save Linear Constraints command, accessible through the platform red triangle menu. For example, if you created constraints in the Prediction Profiler, choose Save Linear Constraints under the Prediction Profiler red triangle menu. The Save Linear Constraints command creates or alters a Table Script called Constraint. An example of the Table Property is shown in Constraint Table Script.
Constraint Table Script
Example Constraint
The Constraint Table Script can be created manually by choosing New Script from the red triangle menu beside a table name.