Modeling and Multivariate Methods - SAS

Chapter 24 Visualizing, Optimizing, and Simulating Response Surfaces 567
The Profiler
Arrange in Rows Enter the number of plots that appear in a row. This option helps you view plots
vertically rather than in one wide row.
Desirability Profiling and Optimization
Often there are multiple responses measured and the desirability of the outcome involves several or all of
these responses. For example, you might want to maximize one response, minimize another, and keep a
third response close to some target value. In desirability profiling, you specify a desirability function for each
response. The overall desirability can be defined as the geometric mean of the desirability for each response.
To use desirability profiling, select Desirability Functions from the Prediction Profiler red triangle menu.
Note: If the response column has a Response Limits property, desirability functions are turned on by
default.
This command appends a new row to the bottom of the plot matrix, dedicated to graphing desirability. The
row has a plot for each factor showing its desirability trace, as illustrated in Figure 24.12. It also adds a
column that has an adjustable desirability function for each Y variable. The overall desirability measure
shows on a scale of zero to one at the left of the row of desirability traces.
Figure 24.12 The Desirability Profiler
Desirability
Function
Overall
desirability
measure
Desirability traces
for each factor
Desirability scale
About Desirability Functions
The desirability functions are smooth piecewise functions that are crafted to fit the control points.
• The minimize and maximize functions are three-part piecewise smooth functions that have exponential
tails and a cubic middle.
• The target function is a piecewise function that is a scale multiple of a normal density on either side of
the target (with different curves on each side), which is also piecewise smooth and fit to the control
points.