Modeling and Multivariate Methods - SAS

Chapter 24 Visualizing, Optimizing, and Simulating Response Surfaces 555
Introduction to Profiling
Introduction to Profiling
It is easy to visualize a response surface with one input factor X and one output factor Y. It becomes harder
as more factors and responses are added. The profilers provide a number of highly interactive cross-sectional
views of any response surface.
Desirability profiling and optimization features are available to help find good factor settings and produce
desirable responses.
Simulation and defect profiling features are available for when you need to make responses that are robust
and high-quality when the factors have variation.
Profiling Features in JMP
There are five profiler facilities in JMP, accessible from a number of fitting platforms and the main menu.
They are used to profile data column formulas.
Table 24.1 Profiler Features Summary
Profiler
Contour Profiler
Surface Profiler
Description
Shows vertical slices across each factor, holding other
factors at current values
Horizontal slices show contour lines for two factors
at a time
3-D plots of responses for 2 factors at a time, or a
contour surface plot for 3 factors at a time
Features
Desirability, Optimization,
Simulator, Propagation of
Error
Simulator
Surface Visualization
Custom Profiler A non-graphical profiler and numerical optimizer General Optimization,
Simulator
Mixture Profiler A contour profiler for mixture factors Ternary Plot and Contours
Profiler availability is shown in Table 24.2.
Table 24.2 Where to Find JMP Profilers
Location Profiler Contour
Profiler
Surface
Profiler
Mixture
Profiler
Custom
Profiler
Graph Menu (as a Platform) Yes Yes Yes Yes Yes
Fit Model: Least Squares Yes Yes Yes Yes
Fit Model: Logistic
Yes
Fit Model: LogVariance Yes Yes Yes