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JMP Documentation Library
The following table describes the purpose and content of each book in the JMP library.
Document Title
Document Purpose
Document Content
Discovering JMP
If you are not familiar with JMP, start here.
Introduces you to JMP and gets you started creating and analyzing data. Also learn how to share your results.
Using JMP
Learn about JMP data tables and how to perform basic operations.
Covers general JMP concepts and features that span across all of JMP, including importing data, modifying columns properties, sorting data, and connecting to SAS.
Basic Analysis
Perform basic analysis using this document.
Describes these Analyze menu platforms:
•
Distribution
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Fit Y by X
•
Tabulate
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Text Explorer
Covers how to perform bivariate, one-way ANOVA, and contingency analyses through Analyze > Fit Y by X. How to approximate sampling distributions using bootstrapping and how to perform parametric resampling with the Simulate platform are also included.
Essential Graphing
Find the ideal graph for your data.
Describes these Graph menu platforms:
•
Graph Builder
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Scatterplot 3D
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Contour Plot
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Bubble Plot
•
Parallel Plot
•
Cell Plot
•
Scatterplot Matrix
•
Ternary Plot
•
Treemap
•
Chart
•
Overlay Plot
The book also covers how to create background and custom maps.
Profilers
Learn how to use interactive profiling tools, which enable you to view cross-sections of any response surface.
Covers all profilers listed in the Graph menu. Analyzing noise factors is included along with running simulations using random inputs.
Design of Experiments Guide
Learn how to design experiments and determine appropriate sample sizes.
Covers all topics in the DOE menu and the Specialized DOE Models menu item in the Analyze > Specialized Modeling menu.
Fitting Linear Models
Learn about Fit Model platform and many of its personalities.
Describes these personalities, all available within the Analyze menu Fit Model platform:
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Standard Least Squares
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Stepwise
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Generalized Regression
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Mixed Model
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MANOVA
•
Loglinear Variance
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Nominal Logistic
•
Ordinal Logistic
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Generalized Linear Model
Predictive and Specialized Modeling
Learn about additional modeling techniques.
Describes these Analyze > Predictive Modeling menu platforms:
•
Modeling Utilities
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Neural
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Partition
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Bootstrap Forest
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Boosted Tree
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K Nearest Neighbors
•
Naive Bayes
•
Model Comparison
•
Formula Depot
Describes these Analyze > Specialized Modeling menu platforms:
•
Fit Curve
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Nonlinear
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Functional Data Explorer
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Gaussian Process
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Time Series
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Matched Pairs
Describes these Analyze > Screening menu platforms:
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Response Screening
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Process Screening
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Predictor Screening
•
Association Analysis
•
Process History Explorer
The platforms in the Analyze > Specialized Modeling > Specialized DOE Models menu are described in Design of Experiments Guide.
Multivariate Methods
Read about techniques for analyzing several variables simultaneously.
Describes these Analyze > Multivariate Methods menu platforms:
•
Multivariate
•
Principal Components
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Discriminant
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Partial Least Squares
•
Multiple Correspondence Analysis
•
Factor Analysis
•
Multidimensional Scaling
•
Item Analysis
Describes these Analyze > Clustering menu platforms:
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Hierarchical Cluster
•
K Means Cluster
•
Normal Mixtures
•
Latent Class Analysis
•
Cluster Variables
Quality and Process Methods
Read about tools for evaluating and improving processes.
Describes these Analyze > Quality and Process menu platforms:
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Control Chart Builder and individual control charts
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Measurement Systems Analysis
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Variability / Attribute Gauge Charts
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Process Capability
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Pareto Plot
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Diagram
•
Manage Spec Limits
Reliability and Survival Methods
Learn to evaluate and improve reliability in a product or system and analyze survival data for people and products.
Describes these Analyze > Reliability and Survival menu platforms:
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Life Distribution
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Fit Life by X
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Cumulative Damage
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Recurrence Analysis
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Degradation and Destructive Degradation
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Reliability Forecast
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Reliability Growth
•
Reliability Block Diagram
•
Repairable Systems Simulation
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Survival
•
Fit Parametric Survival
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Fit Proportional Hazards
Consumer Research
Learn about methods for studying consumer preferences and using that insight to create better products and services.
Describes these Analyze > Consumer Research menu platforms:
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Categorical
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Choice
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MaxDiff
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Uplift
•
Multiple Factor Analysis
Scripting Guide
Learn about taking advantage of the powerful JMP Scripting Language (JSL).
Covers a variety of topics, such as writing and debugging scripts, manipulating data tables, constructing display boxes, and creating JMP applications.
JSL Syntax Reference
Read about many JSL functions on functions and their arguments, and messages that you send to objects and display boxes.
Includes syntax, examples, and notes for JSL commands.
Note: The Books menu also contains two reference cards that can be printed: The Menu Card describes JMP menus, and the Quick Reference describes JMP keyboard shortcuts.

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Help created on 7/12/2018