JMP 12 Profilers

Table of contents

1. Contents
2. Learn about JMP
   1. Documentation and Additional Resources
   2. Formatting Conventions
   3. JMP Documentation
      1. JMP Documentation Library
      2. Discovering JMP
      3. Using JMP
      4. Basic Analysis
      5. Essential Graphing
      6. Profilers
      7. Design of Experiments Guide
      8. Fitting Linear Models
      9. Specialized Models
      10. Multivariate Methods
      11. Quality and Process Methods
      12. Reliability and Survival Methods
      13. Consumer Research
      14. Scripting Guide
      15. JSL Syntax Reference
      16. JMP Help
   4. Additional Resources for Learning JMP
      1. Tutorials
      2. Sample Data Tables
      3. Learn about Statistical and JSL Terms
      4. Learn JMP Tips and Tricks
      5. Tooltips
      6. JMP User Community
      7. JMPer Cable
      8. JMP Books by Users
      9. The JMP Starter Window
3. Introduction to Profilers
   1. Visualize Response Surfaces and Optimize Processes
   2. Introduction to Profiling
      1. Profiling Features in JMP
      2. Fit Group
4. Profiler
   1. Explore Cross Sections of Responses across Each Factor
   2. Profiler Overview
   3. Interpreting the Profiles
      1. Thinking about Profiling as Cross-Sectioning
      2. Setting or Locking a Factor’s Values
   4. Profiler Platform Options
   5. Prediction Profiler Options
   6. Desirability Profiling and Optimization
      1. About Desirability Functions
      2. Using the Desirability Function
      3. The Desirability Profile
      4. Example of Desirability Profiling for Multiple Responses
   7. Assess Variable Importance
      1. The Assess Variable Importance Report
      2. Variable Importance Report
      3. Examples
   8. Special Profiler Topics
      1. Propagation of Error Bars
      2. Customized Desirability Functions
      3. Mixture Designs
      4. Expanding Intermediate Formulas
      5. Linear Constraints
         1. Red Triangle Menu Item
         2. Constraint Table Property/Script
   9. Statistical Details
      1. Assess Variable Importance
         1. Background
         2. Adjustment for Sampling Variation
         3. Variable Importance Standard Errors
5. Contour Profiler
   1. Explore Contours of Responses across Two Factors
   2. Contour Profiler Overview
   3. Contour Profiler Platform Options
   4. Locking Mixture Values
   5. Constraint Shading Settings
6. Surface Plot
   1. Explore Contours of Responses across Three Factors
   2. Surface Plot Overview
   3. Launch the Surface Plot Platform
      1. Plotting a Single Mathematical Function
      2. Plotting Points Only
      3. Plotting a Formula from a Column
      4. Isosurfaces
   4. Surface Plot Platform Options
      1. Appearance Controls
         1. Surface Profiler Appearance Controls in Other Platforms
      2. Independent Variables
      3. Dependent Variables
         1. Controls for Sheet and Points
         2. Controls for Isosurface
         3. Dependent Variable Options
   5. Surface Plot Controls and Settings
      1. Rotate
      2. Axis Settings
      3. Lights
      4. Sheet or Surface Properties
      5. Other Properties and Commands
   6. Keyboard Shortcuts
7. Mixture Profiler
   1. Explore Factor Effects using Ternary Plots
   2. Mixture Profiler Overview
   3. Explanation of Ternary Plot Axes
      1. More than Three Mixture Factors
   4. Mixture Profiler Platform Options
      1. Customizing the Mixture Profiler
   5. Linear Constraints
   6. Examples
      1. Single Response
      2. Multiple Responses
8. Custom Profiler
   1. Explore Response Surfaces Using a Numerical Calculator
   2. Custom Profiler Overview
   3. Custom Profiler Platform Options
9. Simulator
   1. Explore the Effects of Variation on Responses
   2. Simulator Overview
   3. Example of Running the Simulation
   4. Specifying Factors
   5. Responses Report Options
   6. Simulator Report Options
      1. Using Specification Limits
      2. Simulating General Formulas
   7. The Defect Profiler
      1. Graph Scale
      2. Expected Defects
      3. Simulation Method and Details
      4. Notes
   8. Defect Profiler Example
   9. Stochastic Optimization Example
   10. Statistical Details
       1. Normal Weighted Distribution
10. Noise Factors
    1. Minimize Noise Variation to Create a Robust Process
    2. Noise Factors Overview
    3. Example
    4. Noise Factors in Other Platforms
11. Excel Profiler
    1. Visualize Models Saved in Microsoft Excel
    2. Excel Profiler Overview
    3. Running the JMP Profiler
    4. Example of an Excel Model
    5. Using Linear Constraints
    6. Resolution of Profile Lines
    7. Using the Excel Profiler from JMP
12. References
13. Index
    1. Profilers
    2. A
    3. C
    4. D
    5. E
    6. F
    7. G
    8. H
    9. I
    10. J
    11. L
    12. M
    13. N
    14. O
    15. P
    16. R
    17. S
    18. T
    19. U
    20. V
    21. W-Z