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Publication date: 05/05/2023

Profiler Features in JMP

There are several profilers in JMP and each have a different set of features. The profilers are accessible from most fitting platforms and the main menu under Graph. When you launch a profiler from the Graph menu, you must specify formula columns.

Table 2.1 Profiler Features Summary

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.)

Table 2.2 Where to Find JMP Profilers

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

Partition

Yes

Bootstrap Forest

Yes

Boosted Tree

Yes

Support Vector Machines

Yes

Yes

Yes

Model Screening

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

Functional Data Explorer

Yes

Gaussian Process

Yes

Yes

Yes

Discriminant

Yes

Partial Least Squares

Yes

Structural Equation Models

Yes

Life Distribution

Yes

Fit Life by X

Yes

Yes

Recurrence Analysis

Yes

Choice

Yes

Custom Design Prediction Variance

Yes

Yes

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).