Shows or hides a purple triangle whose height and direction correspond to the value of the partial derivative of the profile function at its current value (see Sensitivity Indicators). This is useful in large profiles to be able to quickly spot the sensitive cells.
Shows or hides the desirability functions. Desirability is discussed in Desirability Profiling and Optimization.
Displays a window for each factor allowing you to enter a specific value for the factor’s current setting, to lock that setting, and to control aspects of the grid. See the section Setting or Locking a Factor’s Values for details.
Remember Settings adds an outline node to the report that accumulates the values of the current settings each time the Remember Settings command is invoked. Each remembered setting is preceded by a radio button that is used to reset to those settings.
Set To Data in Row assigns the values of a data table row to the Profiler.
Copy Settings Script and Paste Settings Script enable you to move the current Profiler’s settings to a Profiler in another report.
Append Settings to Table appends the current profiler’s settings to the end of the data table. This is useful if you have a combination of settings in the Profiler that you want to add to an experiment in order to do another run.
Link Profilers links all the profilers together. A change in a factor in one profiler causes that factor to change to that value in all other profilers, including Surface Plot. This is a global option, set or unset for all profilers.
Set Script sets a script that is called each time a factor changes. The set script receives a list of arguments of the form:
Then enter ProfileCallbackLog in the Set Script dialog.
Unthreaded enables you to change to an unthreaded analysis if multithreading does not work.
The prime reason to make uniform random factor tables is to explore the factor space in a multivariate way using graphical queries. This technique is called Filtered Monte Carlo.
Enables you to add, change, or delete linear constraints. The constraints are incorporated into the operation of Prediction Profiler. See Linear Constraints.
Enables you to save existing linear constraints to a table script called Constraint. SeeLinear Constraints.
Launches the Simulator. The Simulator enables you to create Monte Carlo simulations using random noise added to factors and predictions for the model. A typical use is to set fixed factors at their optimal settings, and uncontrolled factors and model noise to random values. You then find out the rate of responses outside the specification limits. For details see the Simulator section.