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