Welcome to JMP
Learn about JMP
Formatting Conventions
JMP Help
JMP Documentation Library
Additional Resources for Learning JMP
Tutorials
Sample Data Tables
Learn about Statistical and JSL Terms
Learn JMP Tips and Tricks
Tooltips
JMP User Community
Free Online Statistical Thinking Course
New User Welcome Kit
Statistics Knowledge Portal
JMP Training
JMP Books by Users
The JMP Starter Window
Technical Support
Discovering JMP
About This Book
Gallery of JMP Graphs
Introducing JMP
Concepts That You Should Know
How Do I Get Started?
Starting JMP
Using Sample Data
Understanding Data Tables
Understanding the JMP Workflow
Step 1: Launching a Platform and Viewing Results
Step 2: Removing the Box Plot
Step 3: Requesting Additional Output
Step 4: Interacting with Platform Results
How is JMP Different from Excel?
Structure of a Data Table
Formulas
Analysis and Graphing
Work with Your Data
Get Your Data into JMP
Copy and Paste Data
Import Data
Enter Data
Transfer Data from Excel
Work with Data Tables
Edit Data
Select, Deselect, and Find Values
View or Change Column Information
Calculate Values with Formulas
Filter Data
Manage Data
View Summary Statistics
Create Subsets
Join Data Tables
Sort Tables
Visualize Your Data
Analyze Single Variables
Histograms
Bar Charts
Compare Multiple Variables
Scatterplots
Scatterplot Matrix
Side-by-Side Box Plots
Graph Builder
Bubble Plots
Overlay Plots
Variability Chart
Analyze Your Data
About This Chapter
The Importance of Graphing Your Data
Understand Modeling Types
Example of Viewing Modeling Type Results
Change the Modeling Type
Analyze Distributions
Distributions of Continuous Variables
Distributions of Categorical Variables
Analyze Relationships
Use Regression with One Predictor
Compare Averages for One Variable
Compare Proportions
Compare Averages for Multiple Variables
Use Regression with Multiple Predictors
The Big Picture
Fun Fact: Linked Analyses
Explore Data in Multiple Platforms
Analyze Distributions
Analyze Patterns and Relationships
Analyze Similar Values
Save and Share Your Work
Save Platform Results in Journals
Example of Creating a Journal
Add Analyses to a Journal
Create a Project
Create a New Project
Save Files in a Project
Move Files to a Project
Share the Project
Save and Run Scripts
Save Reports as Interactive HTML
Interactive HTML Contains Data
Example of Creating Interactive HTML
Create a Web Report
Save a Report as a PowerPoint Presentation
Create Dashboards
Example of Combining Windows
Example of Creating a Dashboard with Two Reports
Special Features
Automatically Update Analyses and Graphs
Example of Using Automatic Recalc
Change Preferences
Example of Changing Preferences
Integrate JMP and SAS
Example of Creating SAS Code
Example of Submitting SAS Code
Using JMP
Get Started
Anatomy of a JMP Session
Data Tables
Data Table Panels
Data Grid
Open Data File Options
Platforms
Launch Windows
Reports
Manage JMP Files and Open Windows
JMP Home Window on Windows
JMP Home Window on macOS
Search for Recently Opened Files on Windows
Close Multiple Files
Display and Arrange Open Windows
Preview JMP Files
Using the Reveal Feature
JMP Starter Window
Import Your Data
About Importing Data to JMP
Import Microsoft Excel Files
Preview and Import the Microsoft Excel Data
Import a Microsoft Excel File Directly
Import Text Files
Text Import Wizard Options
Open a Text File in a Text Editing Window
Import Text from the Script Editor
Import Multiple Files
Import PDF Files
Concatenate Tables into One Data Table
Concatenate Tables by Column Headers
Import Tables that are Not Auto-Detected
PDF Preview Red Triangle Options
Data Table Preview Options
PDF Preview Right-Click Options
Import XML and JSON Files
Preview and Import the XML or JSON Data
Import XML Files Directly
Import JSON Files Directly
Build SQL Queries in Query Builder
Connect to a SQL Database
Select Tables from a SQL Database
Build the SQL Query
Save and Run the Query
Open the Selected Data in JMP
Options
Write SQL Statements in Query Builder
Import Data from SAS
Java Runtime Environment (JRE) Requirements
SAS Menu Options
Import SAS Data Sets
Create SAS Transport Files in SAS
Connect to SAS
Open SAS Data Sets with SAS Query Builder
Open SAS Data Sets through a SAS Server
Using SAS Extended Attributes to Import Metadata
Run Stored Processes
Submit SAS Code
Generate ODS Results
Retrieve Generated SAS Data Sets
Import Data from a Database
Connect to a Database
Open Data from a Database
Write SQL Statements to Query a Database
Structured Query Language (SQL): A Reference
Import Data from Google Sheets
About Importing Google Sheets
Google Sheet Settings
Import SPSS Files
Import Triple-S Survey Data
Import HDF5 Data
Import Data from MATLAB
Import Data from R
Import Data Using the Excel Add-In
Transfer Excel Data to a JMP Data Table
About the JMP Add-In for Excel
Uninstall the Excel Add-In
Import Data from the Internet or a Remote Computer
Create New Data Tables
Enter and Edit Data
Enter Data
Copy and Paste Data
Add Rows
Add Columns
Fill Columns with Sequential Data
Replace Missing Values with Previous Values
Enter Cell Formulas
Select Rows
Find Matching Cells
Select Rows That Contain Specific Values
Locate the Next Selected Row
Select Columns
Select Columns in a Data Table
Select Columns in the Columns Viewer
Locate Next and Previously Selected Columns
Resize Rows and Columns
Organize Data
Delete Rows and Columns
Rearrange Columns
Group Columns
Move Values
Color Cells
Edit or Delete Cells
Edit Column Names
Hide and Exclude Rows
Exclude Rows
Hide Rows
Exclude Columns
Hide Columns
View Patterns of Missing Data
Find and Replace Cell Values
Use the Row Editor to Edit Cells in a Row
Pop-Up Menus for Rows and Columns
Compare Data Tables
Assign Characteristics to Rows and Columns
How to Find Rows and Columns Options
Label Rows and Columns
Assign Colors or Markers to Rows
Create Color Themes
Delete Custom Color Themes
Select Matching Row State Cells
Delete Row Characteristics
Lock Columns in Place
Restructure Data
Make a Column into Multiple Columns
Make Indicator Columns
Combine Columns
Compress Selected Columns
Make Binning Formula
Convert Labels to Codes and Codes to Labels
Make a New Formula Column
Transform Columns
Recode Data
Edit the Data Table
Change Table Names
Lock Tables
Compress Tables
Use Table Variables
Create and Save Scripts
The Column Info Window
About the Column Info Window
About Modeling Types
The Short-Integer Format
Numeric Formats
Row State Columns
Initialize Data
Column Properties
Basic Column Properties
Properties That Validate Column Values
Properties That Attach Information to Column Values
Properties That Control the Display of Columns
Properties Used in Modeling and DOE
Properties Associated with Control Charts and Capability
Properties That Control How Columns Are Used in Platforms
SAS Properties
Virtual Join Properties
Additional Properties
Properties Assigned and Controlled by JMP
Standardize Attributes and Properties Across Columns
Recode Values
Standardize Attributes
Standardize Properties
Delete Properties
Example of Standardizing a Formula
Assign a Preselected Analysis Role
Reshape Data
Create a Subset Data Table
Stratified Subsets
Create a Subset Data Table from a Report
Sort Data Tables
Stack Columns
Example of Stacking into One Column
Example of Stacking into More Than One Column
Split Columns
Examples of Splitting Columns
Transpose Rows and Columns
Examples of Transposing Rows and Columns
Concatenate Data Tables
Example of Concatenating Data Tables
Example of Concatenating Data Tables and Table Variables
Join Data Tables
Examples of Joining Data Tables
Query and Join Data Tables with JMP Query Builder
About Links to Data Tables in JMP Queries
Virtually Join Data Tables
Example of Virtually Joining Columns
Example of Virtually Joining Columns and Showing Row States
Example of Merging Referenced Data in Virtually Joined Data Tables
Example of a Link ID and a Link Reference on a Single Column
Update Data Tables
Example of Updating a Data Table
Anonymize Data
Formula Editor
Formula Overview
Create a Formula
Refer to Values in Columns and Table Variables
Use Local Variables
Incorporate Parameters
Insert Constants
Add Operators
Keypad Reference
Use Functions in a Formula
Customize the Functions List
Copy a Formula to Columns on the Right
Order Expressions in Formulas
Build a Formula in Order of Precedence
Use Formula Editor Options
Calculate Derivatives
Simplify Complex Formulas
Evaluate Formulas
Ignore Errors
View a Formula in JSL
Edit Formulas
Correct Mistakes
Select Expressions
Delete Functions
Cut, Copy, and Paste
Click and Drag
Customize Formulas
Hide and Show Boxing
Change the Font Size
Specify the Matrix Size
Change the Orientation of a Formula
Open and Close Arguments
Examples and Tutorials
Use Basic Formula Editor Features
Use Local Variables in a Formula
Use the Munger Function
Use the Match Conditional Function
Use the Delete Expression Button
Keyboard Shortcuts
Glossary of Terms
Summarize Data
Summarize Columns
Launch Window Roles
Create a Summary Table
Add a Statistics Column to an Existing Summary Table
Explanation of Statistics
Example of Creating a Summary Table with Groups
JMP Reports
Navigate Reports
Use the Hand Tool
Access Report Display Options
Show and Hide Parts of a Report
Combine Several Reports
Rename a Title
Increase Font Sizes
Resize a Window
Red Triangle Options in a Report
Local Data Filter
Redo Menus
Save Script Menus
The Data Filter
Types of Filter Columns
Filtering Modes
The Data Filter Control Panel
Red Triangle Options for the Data Filter
Animation in Data Filters
Red Triangle Options for Variables
Reformat Report Tables
Modify Display Box Properties in a Report
Turn a Report Table Into a Matrix
Use Conditional Formatting
Select Points in Graphs
Select Rows in Graphs
Select a Rectangular Area of Points
Select an Irregularly Shaped Area of Points
Use Markers
Change Marker Shape
Change Marker Colors
Change Marker Size
Work with Crowded Markers
Add Outlines Around Markers
Marker Selection Modes
Specify Marker Transparency
Exclude and Hide Markers
Use Images as Markers
Change Marker Shape or Colors Based On Values
Change the Appearance of Graphs
Resize Graphs
Zoom In and Out
Change Line Widths
Change the Background Color in a Graph
Change the Color of Histogram Bars
Display Coordinates and Temporary Reference Lines
Scroll and Scale Axes
Customize Axes and Axis Labels in the Axis Settings Window
Customize Axes and Axis Labels Using the Pop-Up Menu
Change the Order of Values
Change the Pattern and Format of Selected Objects
Add a Graph to a Data Table
Customize Markers, Lines, Text, and More
Add Images to a Graph or Report
Paste a Background Image into a Graph
Paste an Image at the End of a Report
Drag and Drop an Image into a Graph
Add Geographical Images and Boundaries
Extract Data from an Image
Add Annotations and Shapes to a Report
Add Annotations
Add Shapes
Customize Hover Labels
Add Graphs or Images to Hover Labels
Add Rich Text to Hover Labels
Update Hover Label Grid Entries
Edit Hover Labels
Add Images from Data Tables to Hover Labels
Pin Hover Labels on a Graph
Save and Share Data
Save and Share Data Tables
Save as a Microsoft Excel File
Save as a CSV File on Windows
Save as a Text File
Save as a JSON File
Save as a SAS Transport File
Save as a Google Sheet
Save as a SAS Data Set
Save Data Tables to a Database
Replace a Database with a Data Table
Save and Share Reports
Save a Report as Interactive HTML
Create a Web Report
Save as PDF
Save as PowerPoint
Setting the Graphic DPI
Save Your Analysis as a Script
Save Parts of a Report in a Graphic Format
Print Reports
Copy and Paste Reports
Create a Journal
Example of Making a Journal for a Presentation
Create a New Journal
Manage Links in Shared Journals
Add and Edit Outlines
Journal Right-Click Options
Control the Display of Outline Levels
Add a Graph or Graphic
Customize Journal Items
Prevent Modifications
Append Reports to a Journal
Save the Journal in Another Format
Delete Items from a Journal
Create a Project
Create a New Project
Save Files in a Project
Move Files to a Project
Share the Project
Projects Compatibility
Save JMP Sessions
Save Sessions upon Exiting
Save Sessions Manually
Save a Log Window
Extend JMP
Combine Reports by Creating a Dashboard
Example of Creating a Dashboard with Two Reports
Details about Using the Dashboard Builder
Dashboard Builder Red Triangle Options
Sample Dashboards
Edit a Dashboard
View a Running Dashboard
Example of Combining Windows to Create a Dashboard
Example of Adding Selection Filters to a Dashboard
Example of Creating a JMP Query Dashboard and Add-In
Example of Creating a Dashboard from Two Data Tables
Personalize JMP
Personalize Toolbars and Menus on Windows
Change Customization Sets
Create Toolbars
Create Main Menus
Create Menu Items and Toolbar Buttons
Rearrange Toolbars
Copy and Paste Menus, Menu Items, Toolbars, and Buttons
Rearrange Custom Menus, Menu Items, and Buttons
Delete Custom Items
Show and Hide Items
Import Customizations
Remove Customizations
Personalize Toolbars on macOS
Personalize Menu Items on macOS
Customize Menus and Toolbars for an Add-In
JMP Preferences
Overview
General
Reports
Graphs
Styles
Tables
Data Filter
Platforms
Print
Text Data Files
Third Party Data
Windows Specific
Mac OS Settings
Fonts
Communications
Internet Options
File Locations
Script Editor
SAS Integration
JMP Updates
JSL Debugger
Menu Preferences
Query Builder
Recode
Formula Functions Reference
Row Functions
Numeric Functions
Transcendental Functions
Trigonometric Functions
Character Functions
Comparison Functions
Conditional Functions
Probability Functions
Discrete Probability Functions
Statistical Functions
Random Functions
Date Time Functions
Row State Functions
Assignment Functions
Parametric Model Functions
Finance Functions
JMP Technical Details
Features That Support Multithreading
Conventions for Mapping JMP Attributes to SAS Extended Attributes
Basic Analysis
Introduction to Basic Analysis
Distributions
Overview of the Distribution Platform
Example of the Distribution Platform
Launch the Distribution Platform
The Distribution Report
Histograms
The Frequencies Report
The Quantiles Report
The Summary Statistics Report
Distribution Platform Options
Options for Categorical Variables
Display Options for Categorical Variables
Histogram Options for Categorical Variables
Save Options for Categorical Variables
Options for Continuous Variables
Display Options for Continuous Variables
Histogram Options for Continuous Variables
Normal Quantile Plot
Outlier Box Plot
Quantile Box Plot
Stem and Leaf
CDF Plot
Test Mean
Test Std Dev
Test Equivalence
Confidence Intervals
Prediction Intervals
Tolerance Intervals
Process Capability
Fit Distributions
Save Options for Continuous Variables
Additional Examples of the Distribution Platform
Example of Selecting Data in Multiple Histograms
Example Using a By Variable
Examples of the Test Probabilities Option
Example of Prediction Intervals
Example of Tolerance Intervals
Example of Process Capability
Statistical Details for the Distribution Platform
Standard Error Bars
Quantiles
Summary Statistics
Normal Quantile Plot
Wilcoxon Signed Rank Test
Standard Deviation Test
Normal Quantiles
Saving Standardized Data
Prediction Intervals
Tolerance Intervals
Continuous Fit Distributions
Discrete Fit Distributions
Details for the Legacy Distribution Fitters
Fit Distributions Options (Legacy)
Statistical Details for Continuous Fit Distributions (Legacy)
Statistical Details for Discrete Fit Distributions (Legacy)
Statistical Details for Fitted Quantiles (Legacy)
Statistical Details for Fit Distribution Options (Legacy)
Introduction to Fit Y by X
Overview of the Fit Y by X Platform
Launch the Fit Y by X Platform
Launch Specific Analyses from the JMP Starter Window
Bivariate Analysis
Example of Bivariate Analysis
Launch the Bivariate Platform
The Bivariate Plot
Fitting Options
Fitting Options
Fitting Option Categories
Fit the Same Option Multiple Times
Histogram Borders
Fit Mean
Fit Mean Report
Fit Line and Fit Polynomial
Linear Fit and Polynomial Fit Reports
Fit Special
Fit Special Reports and Menus
Flexible
Fit Spline
Kernel Smoother
Fit Each Value
Fit Orthogonal
Orthogonal Fit Ratio Report
Robust
Fit Robust
Fit Cauchy
Density Ellipse
Correlation Report
Nonpar Density
Group By
Fitting Menus
Fitting Menu Options
Diagnostics Plots
Additional Examples of the Bivariate Platform
Example of the Fit Special Option
Example of the Fit Orthogonal Option
Example of the Fit Robust Command
Example of Group By Using Density Ellipses
Example of Group By Using Regression Lines
Example of Grouping Using a By Variable
Statistical Details for the Bivariate Platform
Fit Line
Fit Spline
Fit Orthogonal
Summary of Fit Report
Lack of Fit Report
Parameter Estimates Report
Smoothing Fit Reports
Correlation Report
Oneway Analysis
Overview of Oneway Analysis
Example of Oneway Analysis
Launch the Oneway Platform
Data Format
The Oneway Plot
Oneway Platform Options
Display Options
Quantiles
Outlier Box Plots
Means/Anova and Means/Anova/Pooled t
The Summary of Fit Report
The t Test Report
The Analysis of Variance Report
The Means for Oneway Anova Report
The Block Means Report
Mean Diamonds and X-Axis Proportional
Mean Lines, Error Bars, and Standard Deviation Lines
Analysis of Means Methods
Analysis of Means for Location
Analysis of Means for Scale
Analysis of Means Charts
Analysis of Means Options
Compare Means
Using Comparison Circles
Each Pair, Student’s t
All Pairs, Tukey HSD
With Best, Hsu MCB
With Control, Dunnett’s
Each Pair Stepwise, Newman-Keuls
Compare Means Options
Nonparametric Tests
The Wilcoxon, Median, Van der Waerden, and Friedman Rank Test Reports
Kolmogorov-Smirnov Two-Sample Test Report
Nonparametric Multiple Comparisons
Unequal Variances
Tests That the Variances Are Equal Report
Equivalence Test
Robust
Robust Fit
Cauchy Fit
Power
Power Details Window and Reports
Normal Quantile Plot
CDF Plot
Densities
Matching Column
Additional Examples of the Oneway Platform
Example of an Analysis of Means Chart
Example of an Analysis of Means for Variances Chart
Example of the Each Pair, Student’s t Test
Example of the All Pairs, Tukey HSD Test
Example of the With Best, Hsu MCB Test
Example of the With Control, Dunnett’s Test
Example of the Each Pair Stepwise, Newman-Keuls Test
Example Contrasting Four Compare Means Tests
Example of the Nonparametric Wilcoxon Test
Example of the Unequal Variances Option
Example of an Equivalence Test
Example of the Robust Fit Option
Example of the Power Option
Example of a Normal Quantile Plot
Example of a CDF Plot
Example of the Densities Options
Example of the Matching Column Option
Example of Stacking Data for a Oneway Analysis
Statistical Details for the Oneway Platform
Comparison Circles
Power
Summary of Fit Report
Tests That the Variances Are Equal
Nonparametric Test Statistics
Contingency Analysis
Example of Contingency Analysis
Launch the Contingency Platform
The Contingency Report
Contingency Platform Options
Mosaic Plot
Pop-Up Menu
Contingency Table
Description of the Contingency Table
Tests
Description of the Tests Report
Fisher’s Exact Test
Analysis of Means for Proportions
Correspondence Analysis
Understanding Correspondence Analysis Plots
Correspondence Analysis Options
The Details Report
Cochran-Mantel-Haenszel Test
Agreement Statistic
Relative Risk
Two Sample Test for Proportions
Measures of Association
Cochran Armitage Trend Test
Exact Test
Additional Examples of the Contingency Platform
Example of Analysis of Means for Proportions
Example of Correspondence Analysis
Example of a Cochran Mantel Haenszel Test
Example of the Agreement Statistic Option
Example of the Relative Risk Option
Example of a Two Sample Test for Proportions
Example of the Measures of Association Option
Example of the Cochran Armitage Trend Test
Statistical Details for the Contingency Platform
Agreement Statistic Option
Odds Ratio Option
Tests Report
Details Report in Correspondence Analysis
Logistic Analysis
Overview of Logistic Regression
Example of Nominal Logistic Regression
Launch the Logistic Platform
The Logistic Report
Logistic Plot
Iterations
Whole Model Test
Fit Details
Parameter Estimates
Logistic Platform Options
ROC Curves
Save Probability Formula
Inverse Prediction
Additional Examples of Logistic Regression
Example of Ordinal Logistic Regression
Additional Example of a Logistic Plot
Example of ROC Curves
Example of Inverse Prediction Using the Crosshair Tool
Example of Inverse Prediction Using the Inverse Prediction Option
Statistical Details for the Logistic Platform
Tabulate
Example of the Tabulate Platform
Launch the Tabulate Platform
Use the Dialog
Add Statistics
The Tabulate Output
Analysis Columns
Grouping Columns
Column and Row Tables
Edit Tables
Tabulate Platform Options
Show Test Build Panel
Right-Click Menu for Columns
Additional Examples of the Tabulate Platform
Example of Creating Different Tables and Rearranging Contents
Example of Combining Columns into a Single Table
Example Using a Page Column
Simulate
Overview of the Simulate Platform
Examples That Use Simulate
Construct Semiparametric Confidence Intervals for Variance Components
Conduct a Permutation Test
Explore Retaining a Factor in Generalized Regression
Conduct Prospective Power Analysis for a Nonlinear Model
Launch the Simulate Window
The Simulate Window
The Simulate Results Table
Simulation Results Report
Simulated Power Report
Bootstrapping
Overview of Bootstrapping
Example of Bootstrapping
Bootstrapping Window Options
Stacked Results Table
Unstacked Bootstrap Results Table
Analysis of Bootstrap Results
Additional Example of Bootstrapping
Statistical Details for Bootstrapping
Availability of Bootstrapping
Text Explorer
Overview of the Text Explorer Platform
Text Processing Steps
Example of the Text Explorer Platform
Launch the Text Explorer Platform
Customize Regex in the Regular Expression Editor
The Text Explorer Report
Summary Counts Report
Term and Phrase Lists
Text Explorer Platform Options
Text Preparation Options
Text Analysis Options
Save Options
Report Options
Latent Class Analysis
Latent Semantic Analysis (SVD)
SVD Report
SVD Report Options
Topic Analysis
Discriminant Analysis
Additional Example of the Text Explorer Platform
References
Essential Graphing
Introduction to Interactive Graphing
Graph Builder
How to Use Graph Builder
About the Graph Builder Window
Example of Features in Graph Builder
Move or Remove Variables in Zones
Work with Axes
Merge Variables on a Common Axis
Create Separate Axes in the X and Y Zones
Create a Second Y Axis
Create Nested Axes for Character Variables
Order the Levels of a Categorical Variable
Element Types and Options
Points
Smoother
Line of Fit
Ellipse
Contour
Line
Bar
Area
Box Plot
Histogram
Heatmap
Pie
Treemap
Mosaic
Caption Box
Formula
Map Shapes
Parallel
Graph Zones
Categorical and Continuous Variables in Group X or Y Zones
Move Group X and Group Y Labels
Red Triangle Options
Graph Builder Buttons
Right-Click Menus
Graph Options
Grouping Zones Options
Options for Columns in the Variables Panel
Options for Axes, Variable Labels, or Graph Titles
Options for the Dividing Line between Multiple Graphs
Legend Options
Graph Builder Examples
Example of an Ordered Bar Chart
Example of an Area and Line Chart
Example of a Map Chart
Example of a Butterfly Chart
Example of a Scatterplot
Example of a Packed Bar Chart
Example of an Overlaid Histogram and Ridgeline Chart
Example of a Bullet Bar Chart
Example of a Forecast Plot
Bubble Plots
Example of a Dynamic Bubble Plot
Launch the Bubble Plot Platform
Specifying Two ID Variables
Specifying a Time Variable
Interact with the Bubble Plot
Control Animation for Dynamic Bubble Plots
Select Bubbles
Use the Brush Tool
Bubble Plot Platform Options
Show Roles
Additional Examples of the Bubble Plot Platform
Example of Specifying Only a Time Variable
Example of Specifying Only ID Variables and Splitting a Bubble
Example of a Static Bubble Plot
Example of a Bubble Plot with a Categorical Y Variable
Scatterplot Matrix
Example of a Scatterplot Matrix
Launch the Scatterplot Matrix Platform
Change the Matrix Format
The Scatterplot Matrix Window
Scatterplot Matrix Platform Options
Example Using a Grouping Variable
Create a Grouping Variable
Parallel Plots
Example of a Parallel Plot
Launch the Parallel Plot Platform
The Parallel Plot
Interpreting Parallel Plots
Parallel Plot Platform Options
Additional Examples of the Parallel Plot Platform
Examine Iris Measurements
Examine Student Measurements
Cell Plots
Example of a Cell Plot
Launch the Cell Plot Platform
The Cell Plot
Cell Plot Platform Options
Pop-Up Menu for Cell Plots
Additional Example of the Cell Plot Platform
Scatterplot 3D
Example of a 3D Scatterplot
Launch the Scatterplot 3D Platform
The Scatterplot 3D Report
Spin the 3D Scatterplot
Change Variables on the Axes
Adjust the Axes
Assign Colors and Markers to Data Points
Assign Colors and Markers in the Data Table
Scatterplot 3D Platform Options
Normal Contour Ellipsoids
Nonparametric Density Contours
Pop-Up Menu
Additional Examples of the Scatterplot 3D Platform
Example of an Ungrouped Normal Contour Ellipsoid
Example of Grouped Normal Contour Ellipsoids
Example of a Grouped Nonparametric Density Contour
Contour Plots
Example of a Contour Plot
Example Using the Contour Platform
Example of a Contour Plot in Graph Builder
Launch the Contour Plot Platform
The Contour Plot
Contour Plot Platform Options
Fill Areas
Contour Specification
Contour Plot Save Options
Use Formulas for Specifying Contours
Additional Example of Contour Plots
Ternary Plots
Example of a Ternary Plot
Launch the Ternary Plot Platform
The Ternary Plot
Mixtures and Constraints
Ternary Plot Platform Options
Additional Examples of the Ternary Plot Platform
Example Using Mixture Constraints
Example Using a Contour Function
Maps
Overview of Mapping
Example of Creating a Map in Graph Builder
Graph Builder
Map Shape
Color
Size
Custom Map Files
Background Maps
Images in Maps
Boundaries
Examples of Creating Maps
Louisiana Parishes Example
Hurricane Tracking Examples
Office Temperature Study
Boundary Map with Clipped Elements
Legacy Platforms
Treemaps
Example of Treemaps
Launch the Treemap Platform
The Treemap Window
Treemap Platform Options
Treemap Right-Click Menu
Charts
Example of the Chart Platform
Launch the Chart Platform
The Chart Report
Chart Platform Options
Overlay Plots
Example of an Overlay Plot
Launch the Overlay Plot Platform
The Overlay Plot
Overlay Plot Options
References
Profilers
Introduction to Profilers
Overview of the Profiler Platform
Introduction to Profiling
Profiler Features in JMP
Profiler Launch Windows
Fit Group
Interpret the Profiles
Profiler Platform Options
Common Profiler Topics
Linear Constraints
Noise Factors
Profiler
Example of the Prediction Profiler
Launch the Prediction Profiler Platform
Prediction Profiler Options
Desirability Profiling and Optimization
Construction of Desirability Functions
How to Use the Desirability Function
The Desirability Profile
Customized Desirability Functions
Assess Variable Importance
Bagging
Additional Examples of the Prediction Profiler
Example of Desirability Profiling for Multiple Responses
Example of a Noise Factor in the Prediction Profiler
Example of Variable Importance for One Response
Example of Variable Importance for Multiple Responses
Example of Bagging to Improve Prediction
Example of Bagging to Indicate the Accuracy of Predictions
Statistical Details for the Prediction Profiler
Assess Variable Importance
Propagation of Error Bars
Contour Profiler
Overview of the Contour Profiler
Example of the Contour Profiler
Launch the Contour Profiler Platform
The Contour Profiler Report
Factor Settings and Controls
Response Settings and Controls
Contour Profiler Platform Options
Constraint Shading Settings
Additional Example of the Contour Profiler
Surface Plot
Overview of the Surface Plot and Surface Profiler
Example of the Surface Plot Platform
Launch the Surface Plot Platform
The Surface Plot Report
The Surface Plot
Appearance Controls
Independent Variables
Dependent Variables
Surface Plot Platform Options
Pop-Up Menu Options
Dependent Variables Options
Sheet or Surface Properties
Keyboard Shortcuts
Additional Examples of the Surface Plot Platform
Construct a Surface Plot for a Single Mathematical Function
Plotting Isosurfaces
Mixture Profiler
Overview of the Mixture Profiler
Ternary Plot Overview
Ternary Plots with More Than Three Components
Example of the Mixture Profiler
Launch the Mixture Profiler Platform
The Mixture Profiler Report
Factor Settings and Controls
Response Settings and Controls
Mixture Profiler Platform Options
Customizations for the Mixture Profiler
Linear Constraints
Additional Examples of the Mixture Profiler Platform
Mixture Variables with a Process Variable
Multiple Responses with Five Mixture Variables
Custom Profiler
Overview of the Custom Profiler
Example of the Custom Profiler
Launch the Custom Profiler Platform
The Custom Profiler Report
Factor Settings and Controls
Response Settings and Controls
Optimization Settings and Controls
Custom Profiler Platform Options
Simulator
Overview of the Simulator
Example of the Simulator
Launch the Simulator
Factors Simulation Settings
Response Simulation Settings
The Simulator Report
The Simulator Report Options
Defect Profiler
Introduction to Tolerance Design
Graph Scale
Defect Rates
Simulation Method and Details
Notes
Defect Parametric Profiler
Simulation Experiment
Specification Limits
Additional Examples of the Simulator
Example of the Defect Profiler
Example of Stochastic Optimization
Example of Simulating General Formulas
Statistical Details for the Simulator
Excel Profiler
Overview of the Excel Profiler
Example of an Excel Model
Run the JMP Profiler
Use Linear Constraints
Resolution of Profile Lines
Use the Excel Profiler from JMP
References
Design of Experiments Guide
Introduction to DOE
Starting Out with DOE
Overview of Experimental Design and the DOE Workflow
The Coffee Strength Experiment
Define the Study and Goals
Create the Design
Run the Experiment
Analyze the Data
The DOE Workflow: Describe, Specify, Design
Define Responses and Factors
Specify the Model
Generate the Design
Evaluate the Design
Make the Table
Principles and Guidelines for Experimental Design
Effect Hierarchy
Effect Heredity
Effect Sparsity
Center Points, Replicate Runs, and Testing
Custom Designs
Overview of Custom Design
Example of a Custom Design
Create the Design
Analyze the Data
Custom Design Window
Responses
Factors
Define Factor Constraints
Model
Alias Terms
Design Generation
Design
Output Options
Custom Design Options
Description of Options
Simulate Responses
Save X Matrix
Number of Starts
Design Search Time
Set Delta for Power
Technical Details for Custom Designs
Designs with Randomization Restrictions
Covariates with Hard-to-Change Levels
Numbers of Whole Plots and Subplots
Optimality Criteria
D-Efficiency
Coordinate-Exchange Algorithm
Examples of Custom Designs
Screening Experiments
Design That Estimates Main Effects Only
Design That Estimates All Two-Factor Interactions
Design That Avoids Aliasing of Main Effects and Two-Factor Interactions
Supersaturated Screening Designs
Design for Fixed Blocks
Response Surface Experiments
Response Surface Design
Response Surface Design with Flexible Blocking
Comparison of a D-Optimal and an I-Optimal Response Surface Design
Response Surface Design With Constraints and Categorical Factor
Mixture Experiments
Mixture Design with Nonmixture Factors
Mixture of Mixtures Design
Experiments with Covariates
Design with Fixed Covariates
Design with Hard-to-Change Covariates
Design with a Linear Time Trend
Experiments with Randomization Restrictions
Split-Plot Experiment
Two-Way Split-Plot Experiment
Experiments for Robust Process and Product Design
Augment Designs
Example Using the Augment Design Platform
Analyze the Augmented Design
Launch the Augment Design Platform
Augment Design Window
Factors
Define Factor Constraints
Augmentation Choices
Augment Design Platform Options
Additional Examples of Augmentation Choices
Replicate a Design
Add Center Points to a Design
Create a Foldover Design
Add Axial Points to a Design
Space Filling Augmentation
Statistical Details
Definitive Screening Designs
Overview of Definitive Screening Design
Examples of Definitive Screening Designs
Definitive Screening Design
Comparison with a Fractional Factorial Design
Definitive Screening Design with Blocking
Comparison of a Definitive Screening Design with a Plackett-Burman Design
Definitive Screening Design Window
Responses
Factors
Design Options
Design
Design Evaluation
Output Options
Definitive Screening Design Options
Simulate Responses
Technical Details
Structure of Definitive Screening Designs
Analysis of Experimental Data
The Fit Definitive Screening Platform
Overview of the Fit Definitive Screening Platform
Effective Model Selection for DSDs
Example of the Fit Definitive Screening Platform
Fit the Model
Examine Results
Reduce the Model
Launch the Fit Definitive Screening Platform
Fit Definitive Screening Report
Stage 1 - Main Effect Estimates
Stage 2 - Even Order Effect Estimates
Combined Model Parameter Estimates
Main Effects Residual Plots
Fit Definitive Screening Platform Options
Technical Details for the Fit Definitive Screening Platform
The Effective Model Selection for DSDs Algorithm
Screening Designs
Overview of Screening Designs
Underlying Principles
Analysis of Screening Design Results
Examples of Screening Designs
Compare a Fractional Factorial Design and a Main Effects Screening Design
Main Effects Screening Design where No Standard Design Exists
Screening Design Window
Responses
Factors
Choose Screening Type
Choose from a List of Fractional Factorial Designs
Design Type
Resolution as a Measure of Confounding
Display and Modify Design
Main Effects Screening Designs
Design Generation
Design
Output Options
Make Table
Screening Design Options
Additional Examples of Screening Designs
Modify Generating Rules in a Fractional Factorial Design
Plackett-Burman Design
The Fit Two Level Screening Platform
Overview of the Fit Two Level Screening Platform
Example of Fit Two Level Screening Platform
Launch the Fit Two Level Screening Platform
The Screening Report
Contrasts
Half Normal Plot
Make or Run Model
Additional Fit Two Level Screening Analysis Examples
Analyze a Plackett-Burman Design
Effect Heredity Example
Analyze a Supersaturated Design
Technical Details for the Fit Two Level Screening Platform
Order of Effect Entry
Fit Two Level Screening as an Orthogonal Rotation
Lenth’s Pseudo-Standard Error
Lenth t-Ratios
Response Surface Designs
Overview of Response Surface Designs
Example of a Response Surface Design
Construct a Box-Behnken Design
Analyze the Experimental Data
Explore Optimal Settings
Response Surface Design Window
Responses
Factors
Choose a Design
Specify Output Options
Make Table
Response Surface Design Options
Full Factorial Designs
Overview of Full Factorial Design
Example of a Full Factorial Design
Construct the Design
Analyze the Experimental Data
Full Factorial Design Window
Responses
Factors
Select Output Options
Make Table
Full Factorial Design Options
Mixture Designs
Overview of Mixture Designs
Mixture Design Window
Responses
Factors
Ternary Plot Overview
Examples of Mixture Design Types
Optimal Mixture Design
Simplex Centroid Design
Simplex Lattice Design
Extreme Vertices Design
ABCD Design
Space Filling Design
Fitting Mixture Designs
Whole Model Tests and Analysis of Variance Reports
A Chemical Mixture Example
Create the Design
Analyze the Mixture Model
The Prediction Profiler
The Mixture Profiler
Taguchi Designs
Overview of Taguchi Designs
Example of a Taguchi Design
Taguchi Design Window
Response
Factors
Choose Inner and Outer Array Designs
Make the Design Table
Taguchi Design Options
Evaluate Designs
Overview of the Evaluate Design Platform
Example of Evaluate Design
Assessing the Impact of Lost Runs
Evaluating Power Relative to a Specified Model
Evaluate Design Launch Window
Evaluate Design Window
Factors
Model
Alias Terms
Design
Power Analysis
Prediction Variance Profile
Fraction of Design Space Plot
Prediction Variance Surface
Estimation Efficiency
Alias Matrix
Color Map on Correlations
Design Diagnostics
Evaluate Design Options
Compare Designs
Overview of the Compare Designs Platform
Examples of Comparing Designs
Designs of Same Run Size
Designs of Different Run Sizes
Split Plot Designs with Different Numbers of Whole Plots
Launch the Compare Designs Platform
Compare Designs Window: Specify Model and Alias Terms
Reference Design
Model
Compare Designs Window: Design Evaluation
Power Analysis
Prediction Variance Profile
Fraction of Design Space Plot
Relative Estimation Efficiency
Alias Matrix Summary
Absolute Correlations
Design Diagnostics
Compare Designs Options
Prospective Sample Size and Power
Launch the Sample Size and Power Platform
One Sample Mean Calculator
Examples of the One Sample Mean Calculator
One Sample Mean Calculator Fields
Statistical Details for the One Sample Mean Calculator
Two Sample Means Calculator
Example of the Two Sample Means Calculator
Two Sample Means Calculator Fields
Statistical Details for the Two Sample Means Calculator
k Sample Means Calculator
Example of the k Sample Means Calculator
k Sample Means Calculator Fields
Statistical Details for the k Sample Means Calculator
One Sample Standard Deviation Calculator
Example of the One Sample Standard Deviation Calculator
One Sample Standard Deviation Calculator Fields
Statistical Details for the One Sample Standard Deviation Calculator
One Sample Proportion Calculator
Example of the One Sample Proportion Calculator
One Sample Proportion Calculator Fields
Statistical Details for the One Proportion Calculator
Two Sample Proportions Calculator
Example of the Two Sample Proportions Calculator
Two Sample Proportions Calculator Fields
Statistical Details for the Two Proportions Calculator
Counts per Unit Calculator
Example of the Counts per Unit Calculator
Counts per Unit Calculator Fields
Statistical Details for the Counts per Unit Calculator
Sigma Quality Level Calculator
Example of the Sigma Quality Level Calculator
Example Computing the Number of Defects
Sigma Quality Level Calculator Fields
Statistical Details for the Sigma Quality Calculator
Reliability Test Plan Calculator
Example of the Reliability Test Plan Calculator
Reliability Test Plan Calculator Fields
Statistical Details for the Reliability Test Plan Calculator
Reliability Demonstration Calculator
Example of the Reliability Demonstration Calculator
Reliability Demonstration Calculator Fields
Statistical Details for the Reliability Demonstration Calculator
Choice Designs
Overview of Choice Designs
Choice Design Terminology
Bayesian D-Optimality
Example of a Choice Design
Example of a Choice Design with Analysis
Create a Choice Design for a Pilot Study
Analyze the Pilot Study Data
Design the Final Choice Experiment Using Prior Information
Run the Design and Analyze the Results
Choice Design Window
Attributes
Model
Design Generation
Design
Make Table
Choice Design Options
Technical Details
Bayesian D-Optimality and Design Construction
Utility-Neutral and Local D-Optimal Designs
MaxDiff Design
Overview of the MaxDiff Design Platform
Example of a MaxDiff Design
MaxDiff Design Launch Window
MaxDiff Window
Design Options Outline
Make Table
MaxDiff Options
Covering Arrays
Overview of Covering Arrays
Example of a Covering Array with No Factor Level Restrictions
Create the Design
Analyze the Experimental Data
Example of a Covering Array with Factor Level Restrictions
Create the Design
Analyze the Experimental Data
Covering Array Window
Factors
Restrict Factor Level Combinations
Design
Metrics
Output Options
The Covering Array Data Table
Covering Array Options
Technical Details for Covering Arrays
Formulas for Metrics
Space-Filling Designs
Overview of Space-Filling Designs
Space Filling Design Window
Responses
Factors
Define Factor Constraints
Space Filling Design Methods
Design
Space Filling Design Options
Sphere-Packing Designs
Creating a Sphere-Packing Design
Visualizing the Sphere-Packing Design
Latin Hypercube Designs
Creating a Latin Hypercube Design
Visualizing the Latin Hypercube Design
Uniform Designs
Comparing Sphere-Packing, Latin Hypercube, and Uniform Methods
Minimum Potential Designs
Maximum Entropy Designs
Gaussian Process IMSE Optimal Designs
Fast Flexible Filling Designs
Set Average Cluster Size
Constraints
Creating and Viewing a Constrained Fast Flexible Filling Design
Creating a Space-Filling Design for a Map Shape
Example of a Sphere-Packing Design
Create the Sphere-Packing Design for the Borehole Data
Guidelines for the Analysis of Deterministic Data
Accelerated Life Test Designs
Overview of Accelerated Life Test Designs
Example of an Accelerated Life Test Design
Obtain Prior Estimates
Enter Basic Specifications
Enter Prior Information and Remaining Specifications
Make the Design
Run Simulations
Save Design
Example of Augmenting an Accelerated Life Test Design
Accelerated Life Test Plan Window
Specify the Design Structure
Specify Acceleration Factors
Specify Design Details
Review Balanced Design Diagnostics and Update Specifications
Create and Assess the Optimal Design
Create Design Tables
Platform Options
Statistical Details for the ALT Design Platform
Nonlinear Designs
Overview of Nonlinear Designs
Examples of Nonlinear Designs
Create a Nonlinear Design with No Prior Data
Augment a Design Using Prior Data
Create a Design for a Binomial Response
Nonlinear Design Launch Window
Nonlinear Design Window
Factors
Design Generation
Nonlinear Design Options
Statistical Details for Nonlinear Designs
Nonlinear Models
Radial-Spherical Integration of the Optimality Criterion
Finding the Optimal Design
Balanced Incomplete Block Designs
Example of Balanced Incomplete Block Designs
Balanced Incomplete Block Design Launch Window
Balanced Incomplete Block Design Window
Specify Treatments, Blocks, and Make Design
Balanced Incomplete Block Design Options
Statistical Details for Balanced Incomplete Block Designs
Group Orthogonal Supersaturated Designs
Overview of Group Orthogonal Supersaturated Designs
Example of Group Orthogonal Supersaturated Designs
Launch the Group Orthogonal Supersaturated Designs Platform
Group Orthogonal Supersaturated Design Window
Specify Factors, Structure, and Make Design
Group Orthogonal Supersaturated Design Options
Statistical Details for Group Orthogonal Supersaturated Designs
The Fit Group Orthogonal Supersaturated Platform
Overview of the Fit Group Orthogonal Supersaturated Platform
Example of Fit Group Orthogonal Supersaturated
Launch the Fit Group Orthogonal Supersaturated Platform
The Fit Group Orthogonal Supersaturated Report
Fit Group Orthogonal Supersaturated Platform Options
Column Properties
Adding and Viewing Column Properties
Response Limits
Response Limits Example
Editing Response Limits
Design Role
Design Role Example
Coding
Low and High Values
Coding Column Property and Center Polynomials
Coding Example
Assigning Coding
Mixture
Mixture Example
Factor Changes
Factor Changes Example
Value Order
Value Order Example
Assigning Value Order
Value Labels
Value Labels Example
RunsPerBlock
RunsPerBlock Example
ConstraintState
ConstraintState Example
Technical Details
The Alias Matrix
Designs with Hard or Very Hard Factor Changes
Designs with If Possible Effects
Power Calculations
Power for a Single Parameter
Power for a Categorical Effect
Relative Prediction Variance
References
Fitting Linear Models
Model Specification
Overview of the Fit Model Platform
Example of a Regression Analysis Using Fit Model
Launch the Fit Model Platform
Fit Model Launch Window Elements
Construct Model Effects
Fitting Personalities
Model Specification Options
Informative Missing
Validity Checks
Examples of Model Specifications and Their Model Fits
Simple Linear Regression
Polynomial in X to Degree k
Polynomial in X and Z to Degree k
Multiple Linear Regression
One-Way Analysis of Variance
Two-Way Analysis of Variance
Two-Way Analysis of Variance with Interaction
Three-Way Full Factorial
Analysis of Covariance, Equal Slopes
Analysis of Covariance, Unequal Slopes
Two-Factor Nested Random Effects Model
Three-Factor Fully Nested Random Effects Model
Simple Split Plot or Repeated Measures Model
Two-Factor Response Surface Model
Knotted Spline Effect
Standard Least Squares Report and Options
Example Using Standard Least Squares
Launch the Standard Least Squares Personality
Fit Model Launch Window
Standard Least Squares Options in the Fit Model Launch Window
Validation
Missing Values
Fit Least Squares Report
Single versus Multiple Responses
Report Structure Related to Emphasis
Special Reports
Least Squares Fit Options
Fit Group Options
Response Options
Regression Reports
Summary of Fit
Analysis of Variance
Parameter Estimates
Effect Tests
Effect Details
Lack of Fit
Estimates
Show Prediction Expression
Sorted Estimates
Expanded Estimates
Indicator Parameterization Estimates
Sequential Tests
Custom Test
Multiple Comparisons
Compare Slopes
Joint Factor Tests
Inverse Prediction
Cox Mixtures
Parameter Power
Correlation of Estimates
Coding for Nominal Effects
Effect Screening
Scaled Estimates and the Coding of Continuous Terms
Plot Options
Normal Plot Report
Bayes Plot Report
Pareto Plot Report
Factor Profiling
Profiler
Interaction Plots
Contour Profiler
Mixture Profiler
Cube Plots
Box Cox Y Transformation
Surface Profiler
Row Diagnostics
Leverage Plots
Press
Save Columns
Prediction Formula
Effect Summary Report
Mixed and Random Effect Model Reports and Options
Mixed Models and Random Effect Models
Restricted Maximum Likelihood (REML) Method
EMS (Traditional) Model Fit Reports
Models with Linear Dependencies among Model Terms
Singularity Details
Parameter Estimates Report
Effect Tests Report
Examples
Statistical Details for the Standard Least Squares Personality
Emphasis Rules
Details of Custom Test Example
Correlation of Estimates
Leverage Plot Details
The Kackar-Harville Correction
Power Analysis
Standard Least Squares Examples
One-Way Analysis of Variance Example
Analysis of Covariance with Equal Slopes Example
Analysis of Covariance with Unequal Slopes Example
Response Surface Model Example
Fit the Full Response Surface Model
Reduce the Model
Examine the Response Surface Report
Find the Critical Point Using the Prediction Profiler
View the Surface Using the Contour Profiler
Split Plot Design Example
Estimation of Random Effect Parameters Example
Knotted Spline Effect Example
Bayes Plot for Active Factors Example
Stepwise Regression Models
Overview of Stepwise Regression
Example Using Stepwise Regression
The Stepwise Report
Stepwise Platform Options
Stepwise Regression Control Panel
Current Estimates Report
Step History Report
Models with Crossed, Interaction, or Polynomial Terms
Example of the Combine Rule
Models with Nominal and Ordinal Effects
Construction of Hierarchical Terms
Example of a Model with a Nominal Term
Example of the Restrict Rule for Hierarchical Terms
Performing Binary and Ordinal Logistic Stepwise Regression
Example Using Logistic Stepwise Regression
The All Possible Models Option
Example Using the All Possible Models Option
The Model Averaging Option
Example Using the Model Averaging Option
Using Validation
Validation Set with Two or Three Values
K-Fold Cross Validation
Generalized Regression Models
Overview of the Generalized Regression Personality
Example of Generalized Regression
Launch the Generalized Regression Personality
Distribution
Generalized Regression Report Window
Generalized Regression Report Options
Model Launch Control Panel
Response Distribution
Estimation Method Options
Advanced Controls
Validation Method Options
Early Stopping
Go
Model Fit Reports
Regression Plot
Model Summary
Estimation Details
Solution Path
Parameter Estimates for Centered and Scaled Predictors
Parameter Estimates for Original Predictors
Active Parameter Estimates
Effect Tests
Model Fit Options
Statistical Details for the Generalized Regression Personality
Statistical Details for Estimation Methods
Statistical Details for Advanced Controls
Statistical Details for Distributions
Generalized Regression Examples
Poisson Generalized Regression Example
Binomial Generalized Regression Example
Zero-Inflated Poisson Regression Example
Mixed Models
Overview of the Mixed Model Personality
Example Using Mixed Model
Launch the Mixed Model Personality
Fit Model Launch Window
Data Format
The Fit Mixed Report
Fit Statistics
Random Effects Covariance Parameter Estimates
Fixed Effects Parameter Estimates
Repeated Effects Covariance Parameter Estimates
Random Coefficients
Random Effects Predictions
Fixed Effects Tests
Multiple Comparisons
Compare Slopes
Marginal Model Inference
Actual by Predicted Plot
Residual Plots
Profilers
Conditional Model Inference
Actual by Conditional Predicted Plot
Conditional Residual Plots
Conditional Profilers
Variogram
Save Columns
Additional Examples of the Mixed Models Personality
Repeated Measures Example
Split Plot Example
Spatial Example: Uniformity Trial
Correlated Response Example
Statistical Details for the Mixed Models Personality
Convergence Score Test
Random Coefficient Model
Repeated Measures
Repeated Covariance Structures
Spatial and Temporal Variability
The Kackar-Harville Correction
Multivariate Response Models
Example of a Multiple Response Model
The Manova Report
The Manova Fit Options
Response Specification
Choose Response Options
Custom Test Option
Multivariate Tests
The Extended Multivariate Report
Comparison of Multivariate Tests
Univariate Tests and the Test for Sphericity
Multivariate Model with Repeated Measures
Repeated Measures Example
Example of a Compound Multivariate Model
Discriminant Analysis
Example of the Save Discrim Option
Statistical Details for the Manova Personality
Multivariate Tests
Approximate F-Tests
Canonical Details
Loglinear Variance Models
Overview of the Loglinear Variance Model
Dispersion Effects
Model Specification
Notes
Launch the Loglinear Variance Personality
Example Using Loglinear Variance
The Loglinear Report
Loglinear Platform Options
Save Columns
Row Diagnostics
Examining the Residuals
Profiling the Fitted Model
Example of Profiling the Fitted Model
Logistic Regression Models
Overview of the Nominal and Ordinal Logistic Personalities
Nominal Logistic Regression
Ordinal Logistic Regression
Other JMP Platforms That Fit Logistic Regression Models
Examples of Logistic Regression
Example of Nominal Logistic Regression
Example of Ordinal Logistic Regression
Launch the Nominal and Ordinal Logistic Personalities
Validation
The Logistic Fit Report
Whole Model Test
Fit Details
Lack of Fit Test
Logistic Fit Platform Options
Options for Nominal and Ordinal Fits
Options for Nominal Fits
Options for Ordinal Fits
Additional Examples of Logistic Regression
Example of Inverse Prediction
Example of Using Effect Summary for a Nominal Logistic Model
Example of a Quadratic Ordinal Logistic Model
Example of Stacking Counts in Multiple Columns
Statistical Details for the Nominal and Ordinal Logistic Personalities
Logistic Regression Model
Odds Ratios
Relationship of Statistical Tests
Generalized Linear Models
Overview of the Generalized Linear Model Personality
Example of a Generalized Linear Model
Launch the Generalized Linear Model Personality
Generalized Linear Model Fit Report
Whole Model Test
Generalized Linear Model Fit Report Options
Additional Examples of the Generalized Linear Models Personality
Using Contrasts to Compare Differences in the Levels of a Variable
Poisson Regression with Offset
Normal Regression with a Log Link
Statistical Details for the Generalized Linear Model Personality
Model Selection and Deviance
Statistical Details
The Response Models
Continuous Responses
Nominal Responses
Ordinal Responses
The Factor Models
Continuous Factors
Nominal Factors
Ordinal Factors
Frequencies
The Usual Assumptions
Assumed Model
Relative Significance
Multiple Inferences
Validity Assessment
Alternative Methods
Key Statistical Concepts
Uncertainty, a Unifying Concept
The Two Basic Fitting Machines
Likelihood, AICc, and BIC
Power Calculations
Computations for the LSN
Computations for the LSV
Computations for the Power
Computations for the Adjusted Power
Inverse Prediction with Confidence Limits
Platforms That Support Validation
References
Predictive and Specialized Modeling
Introduction to Predictive and Specialized Modeling
Neural Networks
Overview of the Neural Platform
Launch the Neural Platform
Validation Method
Hidden Layer Structure
Boosting
Fitting Options
Model Reports
Training and Validation Measures of Fit
Model Options
Example of a Neural Network
Partition Models
Overview of the Partition Platform
Example of the Partition Platform
Launch the Partition Platform
The Partition Report
Control Buttons
Report for Categorical Responses
Report for Continuous Responses
Partition Platform Options
Show Fit Details
Specify Profit Matrix
Decision Matrix Report
Informative Missing
Actual by Predicted Plot
ROC Curve
Lift Curve
Node Options
Validation
K-Fold Crossvalidation
Additional Examples of Partitioning
Example of a Continuous Response
Example of Informative Missing
Example of Profit Matrix and Decision Matrix Report
Statistical Details for the Partition Platform
Responses and Factors
Splitting Criterion
Predicted Probabilities in Decision Tree and Bootstrap Forest
Bootstrap Forest
Overview of the Bootstrap Forest Platform
Example of Bootstrap Forest with a Categorical Response
Example of Bootstrap Forest with a Continuous Response
Launch the Bootstrap Forest Platform
The Bootstrap Forest Report
Model Validation-Set Summaries
Cumulative Validation
Per-Tree Summaries
Bootstrap Forest Platform Options
Boosted Tree
Overview of the Boosted Tree Platform
Example of Boosted Tree with a Categorical Response
Example of Boosted Tree with a Continuous Response
Launch the Boosted Tree Platform
Specification Window
The Boosted Tree Report
Model Validation - Set Summaries
Overall Statistics
Cumulative Validation
Boosted Tree Platform Options
Statistical Details for the Boosted Tree Platform
K Nearest Neighbors
Overview of the K Nearest Neighbors Platform
Example of K Nearest Neighbors with Categorical Response
Example of K Nearest Neighbors with Continuous Response
Launch the K Nearest Neighbors Platform
The K Nearest Neighbors Report
K Nearest Neighbors Platform Options
Model Fit Options
Naive Bayes
Overview of the Naive Bayes Platform
Example of Naive Bayes
Launch the Naive Bayes Platform
The Naive Bayes Report
Naive Bayes Platform Options
Additional Example of Naive Bayes
Statistical Details for the Naive Bayes Platform
Algorithm
Saved Probability Formulas
Support Vector Machines
Overview of Support Vector Machines
Example of Support Vector Machines
Launch the Support Vector Machines Platform
The Support Vector Machines Launch Window
Model Launch Control Panel
The Support Vector Machine Report
Model Comparison Report
Support Vector Machine Model Report
Support Vector Machines Platform Options
Model Comparison
Example of Model Comparison
Launch the Model Comparison Platform
The Model Comparison Report
Model Comparison Platform Options
Additional Example of Model Comparison
Make Validation Column
Overview of the Make Validation Column Platform
Example of Make Validation Column
Launch the Make Validation Column Platform
Make Validation Column Report
Specify Rates or Relative Rates
Set Cutpoints
Options
Go
Make Validation Column Platform Options
Additional Example of the Make Validation Column Platform
Formula Depot
Overview of the Formula Depot Platform
Example of Formula Depot
Launch the Formula Depot Platform
Formula Depot Platform Options
Formula Depot Model Options
Generating Scoring Code from the Formula Depot Platform
Fit Curve
Overview of the Fit Curve Platform
Example Using the Fit Curve Platform
Launch the Fit Curve Platform
The Fit Curve Report
Fit Curve Options
Model Comparison Report
Model Fit Report
Model Fit Options
Test Parallelism
Compare Parameter Estimates
Equivalence Test
Statistical Details for the Fit Curve Platform
Model Formulas
Nonlinear Regression
Example of Fitting a Custom Model
Launch the Nonlinear Platform
The Nonlinear Fit Report
Nonlinear Platform Options
Create a Formula Using the Model Library
Additional Examples
Example of Maximum Likelihood: Logistic Regression
Example of a Probit Model with Binomial Errors: Numerical Derivatives
Example of a Poisson Loss Function
Example of Setting Parameter Limits
Statistical Details for the Nonlinear Platform
Profile Likelihood Confidence Limits
How Custom Loss Functions Work
Notes Concerning Derivatives
Notes on Effective Nonlinear Modeling
Functional Data Explorer
Overview of the Functional Data Explorer Platform
Example of Functional Data Explorer
Launch the Functional Data Explorer Platform
The Functional Data Explorer Report
Model Reports
Functional Data Explorer Platform Options
Functional Data Explorer Group Options
Data Processing Report Options
Model Report Options
Additional Examples of the Functional Data Explorer Platform
Example of Functional DOE
Statistical Details for the Functional Data Explorer Platform
Functional Model Fits
Function Summaries Details
Gaussian Process
Example of Gaussian Process
Launch the Gaussian Process Platform
The Gaussian Process Report
Actual by Predicted Plot
Model Report
Marginal Model Plots
Gaussian Process Platform Options
Additional Examples of the Gaussian Process Platform
Example of a Gaussian Process Model
Example of Gaussian Process Model with Categorical Predictors
Statistical Details for the Gaussian Process Platform
Models with Continuous Predictors
Models with Categorical Predictors
Variance Formula Parameterization
Model Fit Details
Time Series Analysis
Overview of the Time Series Platform
Example of the Time Series Platform
Launch the Time Series Platform
The Time Series Analysis Report
Time Series Graph
Time Series Basic Diagnostics Chart
Time Series Platform Options
Time Series Diagnostics
Differencing and Decomposition
ARIMA and Seasonal ARIMA Models
Smoothing Models
Transfer Function Models
Smoothing Model Specification Windows
Reports
Difference Report
Decomposition Reports
Model Comparison Report
Model Report
Transfer Function Report
Spectral Density Report
Additional Example of the Time Series Platform
Statistical Details for the Time Series Platform
Statistical Details for Spectral Density
Statistical Details for X-11 Decomposition
Statistical Details for Smoothing Models
Statistical Details for ARIMA Models
Statistical Details for Transfer Functions
Time Series Forecast
Example of Time Series Forecast
Launch the Time Series Forecast Platform
Data Format
The Time Series Forecast Report
Analysis of Time Pattern
Group Summary of Time
Group Summary of Y
Modeling Specifications
Time Series Forecast Platform Options
Model Reports
Matched Pairs Analysis
Overview of the Matched Pairs Platform
Example of Comparing Matched Pairs
Launch the Matched Pairs Platform
Multiple Y Columns
The Matched Pairs Report
Difference Plot and Report
Across Groups
Matched Pairs Platform Options
Example Comparing Matched Pairs across Groups
Statistical Details for the Matched Pairs Platform
Graphics for Matched Pairs
Correlation of Responses
Modeling Utilities
Explore Outliers Utility
Example of the Explore Outliers Utility
Launch the Explore Outliers Utility
Quantile Range Outliers
Robust Fit Outliers
Multivariate Robust Outliers
Multivariate k-Nearest Neighbor Outliers
Explore Outliers Utility Options
Additional Examples of the Explore Outliers Utility
Explore Missing Values Utility
Example of the Explore Missing Values Utility
The Missing Value Report
Explore Missing Values Utility Options
Explore Patterns Utility
Example of the Explore Patterns Utility
Launch the Explore Patterns Utility
Explore Patterns Report
Explore Patterns Utility Options
Additional Example of the Explore Patterns Utility
Statistical Details for the Explore Patterns Utility
Response Screening
Overview of the Response Screening Platform
Example of Response Screening
Launch the Response Screening Platform
The Response Screening Report
FDR PValue Plot
FDR LogWorth by Effect Size
FDR LogWorth by RSquare
The PValues Data Table
PValues Data Table Columns
Columns Added for Robust Option
PValues Data Table Scripts
Response Screening Platform Options
Means Data Table
Compare Means Data Table
The Response Screening Personality in Fit Model
Launch Response Screening in Fit Model
The Fit Response Screening Report
PValues Data Table
Y Fits Data Table
Additional Examples of Response Screening
Example of Tests of Practical Significance and Equivalence
Example of the MaxLogWorth Option
Example of Robust Fit
Response Screening Personality
Statistical Details for the Response Screening Platform
Process Screening
Overview of the Process Screening Platform
Example of Process Screening
Launch the Process Screening Platform
Launch Window Options
Limits Table
The Process Screening Report
Process Screening Platform Options
Process Performance Graph
Additional Example of Process Screening
Statistical Details for the Process Screening Platform
Predictor Screening
Overview of the Predictor Screening Platform
Example of Predictor Screening
Launch the Predictor Screening Platform
The Predictor Screening Report
Predictor Screening Platform Options
Association Analysis
Overview of the Association Analysis Platform
Example of the Association Analysis Platform
Launch the Association Analysis Platform
The Association Analysis Report
Frequent Item Sets
Rules
Association Analysis Platform Options
Singular Value Decomposition
SVD Report
SVD Report Options
Topic Analysis
Additional Example: SVD Analysis
Statistical Details for the Association Analysis Platform
Frequent Item Set Generation
Association Analysis Performance Measures
Process History Explorer
Example of Process History Explorer
Launch the Process History Explorer Platform
The Process History Explorer Report
Process History Explorer Platform Options
Statistical Details
Measures of Fit
Platforms That Support Validation
References
Multivariate Methods
Introduction to Multivariate Analysis
Correlations and Multivariate Techniques
Example of the Multivariate Platform
Launch the Multivariate Platform
The Multivariate Report
Multivariate Platform Options
Nonparametric Correlations
Scatterplot Matrix
Outlier Analysis
Item Reliability
Impute Missing Data
Example of Item Reliability
Computations and Statistical Details
Estimation Methods
Pearson Product-Moment Correlation
Nonparametric Measures of Association
Inverse Correlation Matrix
Distance Measures
Cronbach’s α
Principal Components
Overview of Principal Component Analysis Platform
Example of Principal Component Analysis
Launch the Principal Components Platform
Principal Components Report
Principal Components Report Options
Outlier Analysis
Statistical Details for the Principal Components Analysis Platform
Estimation Methods
DModX Calculation
Calculations for Outlier Analysis
Discriminant Analysis
Overview of the Discriminant Analysis Platform
Example of Discriminant Analysis
Launch the Discriminant Analysis Platform
Stepwise Variable Selection
Discriminant Methods
Shrink Covariances
Discriminant Analysis Report
Principal Components
Canonical Plot and Canonical Structure
Discriminant Scores
Score Summaries
Discriminant Analysis Options
Score Options
Canonical Options
Example of a Canonical 3D Plot
Specify Priors
Consider New Levels
Save Discrim Matrices
Scatterplot Matrix
Validation in JMP and JMP Pro
Statistical Details for the Discriminant Analysis Platform
Description of the Wide Linear Algorithm
Saved Formulas
Multivariate Tests
Approximate F-Tests
Between Groups Covariance Matrix
Partial Least Squares Models
Overview of the Partial Least Squares Platform
Example of Partial Least Squares
Launch the Partial Least Squares Platform
Centering and Scaling
Standardize X
Model Launch Control Panel
Partial Least Squares Report
Model Comparison Summary
Cross Validation Report
Model Fit Report
Partial Least Squares Options
Model Fit Options
Variable Importance Plot
VIP vs Coefficients Plots
Save Columns
Statistical Details for the Partial Least Squares Platform
Partial Least Squares
van der Voet T2
T2 Plot
Confidence Ellipses for X Score Scatterplot Matrix
Standard Error of Prediction and Confidence Limits
Standardized Scores and Loadings
PLS Discriminant Analysis (PLS-DA)
Multiple Correspondence Analysis
Example of Multiple Correspondence Analysis
Launch the Multiple Correspondence Analysis Platform
The Multiple Correspondence Analysis Report
Multiple Correspondence Analysis Platform Options
Correspondence Analysis Options
Show Plot
Show Detail
Show Adjusted Inertia
Show Coordinates
Show Summary Statistics
Show Partial Contributions to Inertia
Show Squared Cosines
Cochran’s Q Test
Cross Table
Additional Examples of the Multiple Correspondence Analysis Platform
Example Using a Supplementary Variable
Example Using a Supplementary ID
Example of Cochran’s Q Test
Statistical Details for the Multiple Correspondence Analysis Platform
Details Report
Adjusted Inertia
Summary Statistics
Partial Contributions to Inertia
Cochran’s Q Statistic
Structural Equation Models
Overview of Structural Equation Models
Example of a Structural Equation Model
Launch the Structural Equation Models Platform
The Structural Equation Models Report
Model Specification Report
Model Comparison Report
Structural Equation Model Fit Report
Structural Equation Models Platform Options
Model Options
Customize the SEM Path Diagram
Additional Example of Structural Equation Models
Statistical Details for the Structural Equation Models Platform
Factor Analysis
Overview of the Factor Analysis Platform
Example of the Factor Analysis Platform
Launch the Factor Analysis Platform
The Factor Analysis Report
Model Launch
Rotation Methods
Factor Analysis Platform Options
Factor Analysis Model Fit Options
Multidimensional Scaling
Overview of the Multidimensional Scaling Platform
Example of Multidimensional Scaling
Launch the Multidimensional Scaling Platform
The Multidimensional Scaling Report
Multidimensional Scaling Plot
Shepard Diagram
Fit Details
Multidimensional Scaling Platform Options
Waern Links
Additional Example of the Multidimensional Scaling Platform
Statistical Details for the Multidimensional Scaling Platform
Stress
Transformations
Attributes List Format
Item Analysis
Example of Item Analysis
Launch the Item Analysis Platform
The Item Analysis Report
Characteristic Curves
Information Plot
Dual Plot
Parameter Estimates
Item Analysis Platform Options
Statistical Details for the Item Analysis Platform
Item Response Curves
Item Response Curve Models
IRT Model Assumptions
Fitting the IRT Model
Ability Formula
Hierarchical Cluster
Overview of the Hierarchical Clustering Platform
Overview of Platforms for Clustering Observations
Example of Clustering
Launch the Hierarchical Cluster Platform
Clustering Method
Method for Distance Calculation
Data Structure
Transformations to Y, Columns Variables
Hierarchical Cluster Report
Dendrogram Report
Illustration of Dendrogram and Distance Graph
Clustering History Report
Hierarchical Cluster Options
Additional Examples of the Hierarchical Clustering Platform
Example of a Distance Matrix
Example of Wafer Defect Classification Using Spatial Measures
Statistical Details for the Hierarchical Clustering Platform
Spatial Measures
Distance Method Formulas
K Means Cluster
Overview of the K Means Cluster Platform
Overview of Platforms for Clustering Observations
Example of K Means Cluster
Launch the K Means Cluster Platform
Iterative Clustering Report
Iterative Clustering Control Panel
K Means Report
Cluster Comparison Report
K Means Report
K Means Report Options
Self Organizing Map
Self Organizing Map Control Panel
Self Organizing Map Report
Description of SOM Algorithm
Additional Example of K Means Cluster Platform
Example of a Self-Organizing Map
Normal Mixtures
Overview of the Normal Mixtures Clustering Platform
Overview of Platforms for Clustering Observations
Example of Normal Mixtures Clustering
Launch the Normal Mixtures Clustering Platform
Model Based Clustering Report
Model Based Clustering Control Panel
Normal Mixtures Report
Cluster Comparison Report
Normal Mixtures Report
Normal Mixtures Report Options
Statistical Details for the Normal Mixtures Clustering Platform
Latent Class Analysis
Overview of the Latent Class Analysis Platform
Example of Latent Class Analysis
Launch the Latent Class Analysis Platform
The Latent Class Analysis Report
Latent Class Analysis Platform Options
Latent Class Analysis Options
Latent Class Model Options
Additional Example of the Latent Class Analysis Platform
Plot Probabilities of Cluster Membership
Statistical Details for the Latent Class Analysis Platform
Latent Class Model Fit
Maximum Number of Clusters
Cluster Variables
Overview of the Cluster Variables Platform
Example of the Cluster Variables Platform
Launch the Cluster Variables Platform
The Cluster Variables Report
Color Map on Correlations
Cluster Summary
Cluster Members
Standardized Components
Cluster Variables Platform Options
Additional Examples of the Cluster Variables Platform
Example of Color Map on Correlations
Example of Cluster Variables Platform for Dimension Reduction
Statistical Details for the Cluster Variables Platform
Variable Clustering Algorithm
Statistical Details
Wide Linear Methods and the Singular Value Decomposition
The Singular Value Decomposition
The SVD and the Covariance Matrix
The SVD and the Inverse Covariance Matrix
Calculating the SVD
References
Quality and Process Methods
Introduction to Quality and Process Methods
Control Chart Builder
Overview of Control Chart Builder
Example of Control Chart Builder
Control Chart Types
Shewhart Control Charts for Variables
Shewhart Control Charts for Attributes
Rare Event Control Charts
Control Chart Types
Launch Control Chart Builder
Interactive Workspace
Launch Windows for Specific Control Charts
Control Chart Builder Window
Control Chart Builder Options
Red Triangle Menu Options
Options Panel and Right-Click Chart Options
Right-Click Axis Options
Work with Control Limits
Example of Control Limits
Excluded and Hidden Samples
Additional Examples of Control Chart Builder
XBar and R Chart Phase Example
P chart Example
NP chart Example
C chart Example
U chart Example
G chart Example
T chart Example
Three Way Control Chart Example
Statistical Details for Control Chart Builder
Control Limits for XBar and R Charts
Control Limits for XBar and S Charts
Control Limits for Individual Measurement and Moving Range Charts
Control Limits for P and NP Charts
Control Limits for U Charts and C Charts
Levey-Jennings Charts
Control Limits for G Charts
Control Limits for T Charts
Control Limits for Three Way Control Charts
Measurement Systems Analysis
Overview of Measurement Systems Analysis
Example of Measurement Systems Analysis
Launch the Measurement Systems Analysis Platform
Measurement Systems Analysis Platform Options
Average Chart
Range Chart or Standard Deviation Chart
EMP Results
Effective Resolution
Shift Detection Profiler
Bias Comparison
Test-Retest Error Comparison
Additional Example of Measurement Systems Analysis
Statistical Details for Measurement Systems Analysis
Variability Gauge Charts
Overview of Variability Charts
Example of a Variability Chart
Launch the Variability/Attribute Gauge Chart Platform
The Variability Gauge Chart
Variability Gauge Platform Options
Heterogeneity of Variance Tests
Variance Components
About the Gauge R&R Method
Gauge R&R Option
Discrimination Ratio
Misclassification Probabilities
Bias Report
Linearity Study
Additional Examples of Variability Charts
Example of the Heterogeneity of Variance Test
Example of the Bias Report Option
Statistical Details for Variability Charts
Statistical Details for Variance Components
Statistical Details for the Discrimination Ratio
Statistical Details for the Misclassification Probabilities
Attribute Gauge Charts
Overview of Attribute Gauge Charts
Example of an Attribute Gauge Chart
Launch the Variability/Attribute Gauge Chart Platform
The Attribute Gauge Chart and Reports
Agreement Reports
Effectiveness Report
Attribute Gauge Platform Options
Statistical Details for Attribute Gauge Charts
Statistical Details for the Agreement Report
Process Capability
Overview of the Process Capability Platform
Example of the Process Capability Platform with Normal Variables
Example of the Process Capability Platform with Nonnormal Variables
Launch the Process Capability Platform
Process Selection
Process Subgrouping
Moving Range Options
Historical Information
Distribution Options
Other Specifications
Entering Specification Limits
Spec Limits Window
Limits Data Table
Spec Limits Column Property
The Process Capability Report
Goal Plot
Capability Box Plots
Capability Index Plot
Process Capability Platform Options
Individual Detail Reports
Normalized Box Plots
Process Performance Plot
Summary Reports
Make Goal Plot Summary Table
Additional Examples of the Process Capability Platform
Process Capability for a Stable Process
Process Capability for an Unstable Process
Simulation of Confidence Limits for a Nonnormal Process Ppk
Statistical Details for the Process Capability Platform
Variation Statistics
Notation for Goal Plots and Capability Box Plots
Goal Plot
Capability Box Plots for Processes with Missing Targets
Capability Indices for Normal Distributions
Capability Indices for Nonnormal Distributions: Percentile and Z-Score Methods
Parameterizations for Distributions
CUSUM Control Charts
Overview of the CUSUM Control Chart Platform
Example of CUSUM Control Chart
Launch the CUSUM Control Chart Platform
The CUSUM Control Chart Platform Report
Control Panel
CUSUM Chart
CUSUM Control Chart Platform Options
Average Run Length (ARL) Report
Additional Example of CUSUM Control Charts
Example of the Data Units Option
Example of CUSUM Chart with Subgroups
Statistical Details for the CUSUM Control Chart Platform
Statistical Details for CUSUM Control Chart Construction
Statistical Details for Shift Detection
Statistical Details for Average Run Length
Weighted Moving Average Control Charts
Overview of Weighted Moving Average Charts
Examples of Weighted Moving Average Charts
EWMA Chart Example
Launch a Weighted Moving Average Chart Platform
Process Information
Limits Specifications
Specified Statistics
Weighted Moving Average Chart Reports
Weighted Moving Average Chart Platform Options
Window Options for Weighted Moving Average Charts
Chart Options for Weighted Moving Average Charts
Statistical Details for Weighted Moving Average Charts
Multivariate Control Charts
Overview of Multivariate Control Charts
Example of a Multivariate Control Chart
Launch the Multivariate Control Chart Platform
The Multivariate Control Chart
Multivariate Control Chart Platform Options
T Square Partitioned
Change Point Detection
Principal Components
Additional Examples of Multivariate Control Charts
Example of Monitoring a Process Using Sub-Grouped Data
Example of T Square Partitioned
Example of Change Point Detection
Statistical Details for Multivariate Control Charts
Statistical Details for Individual Observations
Statistical Details for Observations in Rational Subgroups
Statistical Details for Change Point Detection
Model Driven Multivariate Control Charts
Overview of Model Driven Multivariate Control Charts
Example of Model Driven Multivariate Control Charts
Launch the Model Driven Multivariate Control Chart Platform
Data Format
The Model Driven Multivariate Control Chart Report
Model Driven Multivariate Control Chart Platform Options
Plot Options
Score Plot
Additional Examples of the Model Driven Multivariate Control Chart Platform
Example of an MDMVCC with Historical Data
Example of an MDMVCC with a PLS Model
Statistical Details for the Model Driven Multivariate Control Chart Platform
Monitoring Statistics
Limits
Contributions
Score Plot Group Comparisons
Score Plot Loadings
Legacy Control Charts
Example of a Legacy Control Chart
Legacy Control Chart Types
Control Charts for Attributes
Launch a Legacy Control Chart Platform
Process Information
Limits Specifications
Specified Statistics
Legacy Control Chart Reports
V-Mask CUSUM Chart Reports
Interpret a One-Sided CUSUM Chart
Legacy Control Chart Platform Options
Window Options for Legacy Control Charts
Chart Options for Legacy Control Charts
Chart Options for V-Mask CUSUM Control Charts
Saving and Retrieving Limits
Excluded, Hidden, and Deleted Samples
Additional Examples of the Control Chart Platform
Runs Chart Example
XBar Chart and R Chart Example
XBar and S charts with Varying Subgroup Sizes Example
Individual Measurement and Moving Range Charts Example
P Chart Example
NP Chart Example
C Chart Example
U Chart Example
Presummarize Chart Example
V-Mask CUSUM Chart Example
One-Sided CUSUM Chart Example
Phase Example
Statistical Details for the Control Chart Platform
Control Limits for Median Moving Range Charts
Statistical Details for Capability Analysis
Statistical Details for V-Mask CUSUM Control Charts
Pareto Plots
Overview of the Pareto Plot Platform
Example of the Pareto Plot Platform
Launch the Pareto Plot Platform
The Pareto Plot Report
Pareto Plot Platform Options
Causes Options
Additional Examples of the Pareto Plot Platform
Threshold of Combined Causes Example
Using a Constant Size across Groups Example
Using a Non-Constant Sample Size across Groups Example
One-Way Comparative Pareto Plot Example
Two-Way Comparative Pareto Plot Example
Statistical Details for the Pareto Plot Platform
Cause-and-Effect Diagrams
Overview of Cause-and-Effect Diagrams
Example of a Cause-and-Effect Diagram
Prepare the Data
Launch the Diagram Platform
The Cause-and-Effect Diagram
Right-Click Menus
Cause and Effect Diagram Menu Options
Save the Diagram
Save the Diagram as a Data Table
Save the Diagram as a Journal
Save the Diagram as a Script
Statistical Details
Manage Spec Limits Utility
Manage Spec Limits Options
Operating Characteristic Curves
References
Reliability and Survival Methods
Introduction to Reliability and Survival
Life Distribution
Overview of the Life Distribution Platform
Example of the Life Distribution Platform
Launch the Life Distribution Platform
Life Distribution Report
Event Plot
Compare Distributions
Life Distribution: Statistics
Life Distribution Report Options
Mixture
Fit Competing Risk Mixture
Weibayes Report
Competing Cause Report
Competing Cause Workflow
Competing Cause Model
Cause Combination
Competing Cause: Statistics
Individual Causes
Competing Cause Report Options
Life Distribution - Compare Groups Report
Compare Groups: Statistics
Life Distribution - Compare Groups Report Options
Additional Examples of the Life Distribution Platform
Omit Competing Causes
Change the Scale
Examine the Same Distribution across Groups
Weibayes Estimates
Fit Mixture Example
Fit Competing Risk Mixture Example
Statistical Details for the Life Distribution Platform
Distributions
Competing Cause Details
Fit Life by X
Overview of the Fit Life by X Platform
Example of the Fit Life by X Platform
Launch the Fit Life by X Platform
The Fit Life by X Report
Scatterplot
Nonparametric Overlay
Comparisons
Results
Custom Relationship
Fit Life by X Platform Options
Additional Examples of the Fit Life by X Platform
Capacitor Example
Custom Relationship Example
Cumulative Damage
Overview of the Cumulative Damage Platform
Example of the Cumulative Damage Platform
Launch the Cumulative Damage Platform
Time to Event
Stress Pattern
The Cumulative Damage Report
Cumulative Damage Platform Options
Additional Example of the Cumulative Damage Platform
Recurrence Analysis
Overview of the Recurrence Analysis Platform
Example of the Recurrence Analysis Platform
Launch the Recurrence Analysis Platform
Recurrence Analysis Platform Options
Fit Model
Additional Examples of the Recurrence Analysis Platform
Bladder Cancer Recurrences Example
Diesel Ship Engines Example
Degradation
Overview of the Degradation Platform
Example of the Degradation Platform
Launch the Degradation Platform
The Degradation Reports
Model Specification
Simple Linear Path
Nonlinear Path
Inverse Prediction
Prediction Graph
Degradation Platform Options
Model Reports
Model Lists
Reports
Destructive Degradation
Stability Analysis
Destructive Degradation
Example of the Destructive Degradation Platform
Launch the Destructive Degradation Platform
Specify Two Y Columns
The Destructive Degradation Plot Options and Models
Plot Options
Models
The Destructive Degradation Report
Model Outlines
Destructive Degradation Platform Options
Statistical Details for the Destructive Degradation Platform
Reliability Forecast
Overview of the Reliability Forecast Platform
Example Using the Reliability Forecast Platform
Launch the Reliability Forecast Platform
The Reliability Forecast Report
Forecast Report
Reliability Forecast Platform Options
Additional Example Using the Reliability Forecast Platform
Reliability Growth
Overview of the Reliability Growth Platform
Example Using the Reliability Growth Platform
Launch the Reliability Growth Platform
Launch Window Roles
Data Table Structure
The Reliability Growth Report
Observed Data Report
Reliability Growth Platform Options
Model Reports
Crow AMSAA
Crow AMSAA with Modified MLE
Fixed Parameter Crow AMSAA
Piecewise Weibull NHPP
Reinitialized Weibull NHPP
Piecewise Weibull NHPP Change Point Detection
Additional Examples of the Reliability Growth Platform
Piecewise NHPP Weibull Model Fitting with Interval-Censored Data
Piecewise Weibull NHPP Change Point Detection with Time in Dates Format
Statistical Details for the Reliability Growth Platform
Statistical Details for the Crow-AMSAA Report
Statistical Details for the Piecewise Weibull NHPP Change Point Detection Report
Reliability Block Diagram
Overview of the Reliability Block Diagram Platform
Example Using the Reliability Block Diagram Platform
Add Components
Align Shapes
Connect Shapes
Configure Components
The Reliability Block Diagram Window
Preview Window
Reliability Block Diagram Platform Options
Workspace Options
Configuration Settings
Specify a Nonparametric Distribution
Options for Design and Library Items
Profilers
Component Importance and Time to Failure
Component Plots
Print Algebraic Reliability Formula
Clone and Delete
Repairable Systems Simulation
Overview of the Repairable Systems Simulation Platform
Example Using the Repairable Systems Simulation Platform
The Repairable Systems Simulation Window
System Diagram
Shapes Toolbar
Configuration Panel
Add Event Panel
Add Action Panel
Repairable Systems Simulation Platform Options
Options for Block Items
Specify a Nonparametric or Estimated Distribution
Event Settings
Action Settings
Repairable Systems Simulation Results
Results Table
Results Explorer
Repairable Systems Simulation Results Options
RSS Results Explorer Point Estimation Profilers
Survival Analysis
Overview of the Survival Analysis Platform
Example of Survival Analysis
Launch the Survival Platform
The Survival Plot
Survival Platform Options
Exponential, Weibull, and Lognormal Plots and Fits
Fitted Distribution Plots
Competing Causes
Additional Examples of the Survival Platform
Example of Survival Analysis
Example of Competing Causes
Example of Interval Censoring
Statistical Reports for Survival Analysis
Fit Parametric Survival
Overview of the Fit Parametric Survival Platform
Example of Parametric Regression Survival Fitting
Launch the Fit Parametric Survival Platform
The Parametric Survival Fit Report
The Parametric Survival - All Distributions Report
Parametric Competing Cause Report
Fit Parametric Survival Options
Nonlinear Parametric Survival Models
Additional Examples of Fitting Parametric Survival
Arrhenius Accelerated Failure LogNormal Model
Interval-Censored Accelerated Failure Time Model
Analyze Censored Data Using the Nonlinear Platform
Left-Censored Data
Weibull Loss Function Using the Nonlinear Platform
Fitting Simple Survival Distributions Using the Nonlinear Platform
Statistical Details for the Fit Parametric Survival Platform
Fit Proportional Hazards
Overview of the Fit Proportional Hazards Platforms
Example of the Fit Proportional Hazards Platform
Risk Ratios for One Nominal Effect with Two Levels
Launch the Fit Proportional Hazards Platform
The Fit Proportional Hazards Report
Fit Proportional Hazards Options
Example Using Multiple Effects and Multiple Levels
References
Consumer Research
Introduction to Consumer Research
Categorical Response Analysis
Example of the Categorical Platform
Launch the Categorical Platform
Response Roles
Columns Roles
Other Launch Window Options
The Categorical Report
Categorical Platform Options
Report Options
Statistical Testing Options
Additional Categorical Platform Options
Crosstab Table Options
Comparison Letters
Supercategories
Supercategories Options
Additional Examples of the Categorical Platform
Example of the Test for Response Homogeneity
Example of the Multiple Response Test
Example of Supercategories
Example of the Cell Chisq Test
Example of Compare Each Sample with Comparison Letters
Example of Compare Each Cell with Comparison Letters
Example of User-Specified Comparison with Comparison Letters
Example of Aligned Responses
Example of Conditional Association and Relative Risk
Example of Rater Agreement
Example of Repeated Measures
Example of the Multiple Responses
Example of Mean Score with Comparison Letters
Example of a Structured Report
Example of a Multiple Response with Nonresponse
Set Preferences
Statistical Details for the Categorical Platform
Rao-Scott Correction
Choice Models
Overview of the Choice Modeling Platform
Examples of the Choice Platform
One Table Format with No Choice
Multiple Table Format
Launch the Choice Platform
Launch Window for One Table, Stacked
Launch Window for Multiple Tables, Cross-Referenced
Choice Model Report
Effect Summary
Parameter Estimates
Likelihood Ratio Tests
Bayesian Parameter Estimates
Choice Platform Options
Willingness to Pay
Additional Examples
Example of Making Design Decisions
Example of Segmentation
Example of Logistic Regression Using the Choice Platform
Example of Logistic Regression for Matched Case-Control Studies
Example of Transforming Data to Two Analysis Tables
Example of Transforming Data to One Analysis Table
Statistical Details for the Choice Platform
Special Data Table Rules
Utility and Probabilities
Gradients
MaxDiff
Overview of the MaxDiff Modeling Platform
Examples of the MaxDiff Platform
One Table Format
Multiple Table Format
Launch the MaxDiff Platform
Launch Window for One Table, Stacked
Launch Window for Multiple Tables, Cross-Referenced
MaxDiff Model Report
Effect Summary
MaxDiff Results
Parameter Estimates
Bayesian Parameter Estimates
Likelihood Ratio Tests
MaxDiff Platform Options
Comparisons Report
Save Bayes Chain
Uplift Models
Overview of the Uplift Platform
Example of the Uplift Platform
Launch the Uplift Platform
The Uplift Model Report
Uplift Model Graph
Uplift Report Options
Multiple Factor Analysis
Overview of the Multiple Factor Analysis Platform
Example of Multiple Factor Analysis
Launch the Multiple Factor Analysis Platform
Data Format
The Multiple Factor Analysis Report
Summary Plots
Consensus Map
Multiple Factor Analysis Platform Options
Statistical Details for the Multiple Factor Analysis Platform
References
Scripting Guide
Introduction
What JSL Can Do for You
Help with Learning JSL
The Scripting Guide
The Scripting Index
Let JMP Teach You JSL
Terminology
Basic JSL Syntax
Book Conventions
Getting Started
Capturing a Script for an Analysis Report
Capturing a Script for a Data Table
Capturing a Script to Import a File
Gluing Scripts Together
Scripting Tools
Using the Script Editor
Introduction to the Script Editor
Run a Script
Stop a Script
Edit a Script
Color Coding and Themes
Auto Complete Functions
Tooltips
Split a Window
Match Parentheses, Brackets, and Braces
Select a Rectangular Block of Text
Select Fragmented Text
Drag and Drop Text
Find and Replace
Automatic Formatting
Add Code Folding Markers
Advanced Options
Set Preferences for the Script Editor
Working with the Log
Show the Log in the Script Window
Save the Log
Debug or Profile Scripts
Debugger and Profiler Window
Work with Breakpoints
View Variables
Work with Watches
Modify Preferences in Debugger
Persistent Debugger Sessions
Examples of Debugging and Profiling Scripts
JSL Building Blocks
JSL Syntax Rules
Value Separators
Numbers
Names
Comments
Operators
Boolean Values
Global and Local Variables
Local Namespaces
Named Namespaces
Show Symbols, Clear Symbols, and Delete Symbols
Lock and Unlock Symbols
Hide a Global Variable
Rules for Name Resolution
Variable Names Used as Arguments
Rules for Resolving Names
Scoping Operators
Troubleshoot Variables and Column Names
Troubleshoot Variables and Keywords
Frequently Asked Questions about Name Resolution
Alternatives for Gluing Expressions Together
Iterate
For
While
Summation
Product
Break and Continue
Conditional Functions
If
Match
Choose
Interpolate
Step
Compare Incomplete or Mismatched Data
Missing Values
Inquiry Functions
General Element Types
Specific Element Types
Object Attributes
Host Information
Version Information
Types of Data
Numbers and Strings
Formatting Numbers
Unicode Characters
Path Variables
Create and Customize Path Variables
Relative Paths
File Path Separators
Date-Time Functions and Formats
Date-Time Values
Program with Date-Time Functions
Date-Time Values in Data Tables
Currency
Hexadecimal and BLOB Functions
Work with Character Functions
Concat
Munger
Repeat
Substitute and Substitute Into
Regular Expressions
Regex
Regex Match
Special Characters in Regular Expressions
Escaped Characters in Regular Expressions
Greedy and Reluctant Regular Expressions
Backreferences and Capturing Groups
Lookaround Assertions
Pattern Matching
Parsing Strings in Fixed Fields
Patterns and Case
Troubleshooting Patterns
Data Structures
Lists
Evaluate Lists
Assignments with Lists
Perform Operations in Lists
Find the Number of Items in a List
Subscripts
Locate Items in a List
List Operators and Functions
Iterate through a List
Concatenate Lists
Insert a Nested List in an Existing List
Index into a List with Another List
Send Messages to Lists
Matrices
Construct Matrices
Subscripts
Inquiry Functions
Comparisons, Range Checks, and Logical Operators
Numeric Operations
Concatenation
Transpose
Indexing into a Matrix or List with Another Matrix or List
Matrices and Data Tables
Matrices and Reports
Loc Functions
Ranking and Sorting
Special Matrices
Inverse Matrices and Linear Systems
Decompositions and Normalizations
Build Your Own Matrix Functions
Statistical Examples
Associative Arrays
Create Associative Arrays
Work with Associative Arrays
Applications for Associative Arrays
Associative Arrays in Graph Theory
Associative Arrays in Set Operations
Programming Methods
Lists and Expressions
Expressions
Macros
Manipulating Lists
Manipulating Expressions
Advanced Scoping and Namespaces
Names Default To Here
Scoped Names
Namespaces
Referencing Namespaces and Scopes
Resolving Named Variable References
Best Practices for Advanced Scripting
Advanced Programming Concepts
Throw and Catch Exceptions
Functions
Recursion
Includes
Load and Save Text Files
Run External Programs
Classes
File and Directory Operations
Select a Directory or File
Get a List of Filenames
Connect to a Network Directory
Scripting BY Groups
Encrypt and Decrypt Scripts
Encryption and Global Variables
Encrypting Scripts in Data Tables
Working with Expressions in an Encrypted Script
Additional Numeric Functions
Derivatives
Algebraic Manipulations
Maximize and Minimize
Identifying Differences Between Strings, Lines, or Sequences
Scheduling Actions
Functions that Communicate with Users
Writing to the Log
Send Information to the User
Data Tables
Get Started
Basic Data Table Scripting
Open a Data Table
Create a New Data Table
Import Data
Set the Current Data Table
Name a Data Table
Save a Data Table
Hide a Data Table
Print a Data Table
Resize a Data Table
Close a Data Table
Set and Get a Data Table
Perform Actions on All Open Data Tables
Create Journals
Create Excel Workbooks
Prevent Changes to a Data Table
Advanced Data Table Scripting
Select Columns in a Data Table
Store Summary Statistics in Global Variables
Create a Table of Summary Statistics
Subset a Data Table
Add a Data Filter
Sort a Data Table
Stack Values in a Data Table
Split Values in a Stacked Data Table
Transpose a Data Table
Vertically Concatenate Data Tables
Horizontally Concatenate Data Tables
Virtually Join Data Tables
Replace Data in Data Tables
Create a Table Using Tabulate
Copy Data Tables
Find Missing Data Patterns
Compare Data Tables
Create a Summary Table
Subscribe to a Data Table
Move Data Between Matrices and Data Tables
Add Hyperlinks to Text Columns
Columns
Send Messages to Data Column Objects
Create Columns
Add Several Columns at Once
Group Columns
Use Set Selected to Select Columns
Rearrange and Move Columns
Add a Column Switcher
Compress Selected Columns
Create Custom Functions, Trans