There are several profiler facilities in JMP, accessible from a number of fitting platforms and the main menu under Graph. They are used to profile data column formulas.
|
Description |
Features |
---|---|---|
Prediction Profiler |
Shows vertical slices across each factor, holding other factors at current values |
Desirability, Optimization, Simulator, Propagation of Error |
Contour Profiler |
Horizontal slices show contour lines for two factors at a time |
Simulator |
Surface Profiler |
3-D plots of responses for 2 factors at a time, or a contour surface plot for 3 factors at a time |
Surface Visualization |
Mixture Profiler |
A contour profiler for mixture factors |
Ternary Plot and Contours |
Custom Profiler |
A non-graphical profiler and numerical optimizer |
General Optimization, Simulator |
Excel Profiler |
Visualize models (or formulas) stored in Excel worksheets. |
Profile using Excel Models |
Profiler availability is shown in Table 2.2. The Custom Profiler is available only through the Graph menu. (Model Comparison does have Custom Profiler available.)
Location |
Profiler |
Contour Profiler |
Surface Profiler |
Mixture Profiler |
---|---|---|---|---|
Graph Menu (as a Platform) |
Yes |
Yes |
Yes |
Yes |
Fit Model: Least Squares |
Yes |
Yes |
Yes |
Yes |
Fit Model: Generalized Regression |
Yes |
|
|
|
Fit Model: Mixed Model |
Yes |
Yes |
Yes |
Yes |
Fit Model: Logistic |
Yes |
|
|
|
Fit Model: Loglinear Variance |
Yes |
Yes |
Yes |
|
Fit Model: Generalized Linear Model |
Yes |
Yes |
Yes |
|
Fit Model: Partial Least Squares |
Yes |
|
|
|
Neural |
Yes |
Yes |
Yes |
|
Model Comparison |
Yes |
Yes |
Yes |
Yes |
Nonlinear: Factors and Response |
Yes |
Yes |
Yes |
|
Nonlinear: Parameters and SSE |
Yes |
Yes |
Yes |
|
Nonlinear: Fit Curve |
Yes |
|
|
|
Gaussian Process |
Yes |
Yes |
Yes |
|
Partial Least Squares |
Yes |
|
|
|
Life Distribution |
Yes |
|
|
|
Fit Life by X |
Yes |
|
Yes |
|
Recurrence Analysis |
Yes |
|
|
|
Choice |
Yes |
|
|
|
Custom Design Prediction Variance |
Yes |
|
Yes |
|