The Help system content is also available in one PDF file called JMP Documentation Library. Select Help > JMP Documentation Library to open the file. You can also download the Documentation PDF Files add-in if you prefer searching individual PDF files of each document in the JMP library. Download the available add-ins from community.jmp.com.
The following table describes the purpose and content of each document 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 • 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. |
|
Essential Graphing |
Find the ideal graph for your data. |
Describes these Graph menu platforms: • Graph Builder • Scatterplot 3D • Contour Plot • 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. |
|
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: • Standard Least Squares • Stepwise • Generalized Regression • Mixed Model • Generalized Linear Mixed Model • MANOVA • Loglinear Variance • Nominal Logistic • Ordinal Logistic • Generalized Linear Model |
|
Predictive and Specialized Modeling |
Learn about additional modeling techniques. |
Describes these Analyze > Predictive Modeling menu platforms: • Neural • Partition • Bootstrap Forest • Boosted Tree • K Nearest Neighbors • Naive Bayes • Support Vector Machines • Model Comparison • Model Screening • Make Validation Column • Formula Depot Describes these Analyze > Specialized Modeling menu platforms: • Fit Curve • Nonlinear • Functional Data Explorer • Gaussian Process • Time Series • Matched Pairs Describes these Analyze > Screening menu platforms: • Explore Outliers • Explore Missing Values • Explore Patterns • Response Screening • Predictor Screening • Association Analysis • Process History Explorer |
|
Multivariate Methods |
Read about techniques for analyzing several variables simultaneously. |
Describes these Analyze > Multivariate Methods menu platforms: • Multivariate • Principal Components • Discriminant • Partial Least Squares • Multiple Correspondence Analysis • Structural Equation Models • Factor Analysis • Multidimensional Scaling • Multivariate Embedding • Item Analysis Describes these Analyze > Clustering menu platforms: • 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: • Control Chart Builder and individual control charts • Measurement Systems Analysis (EMP and Type 1 Gauge) • Variability / Attribute Gauge Charts • Process Screening • Process Capability • Model Driven Multivariate Control Chart • Legacy Control Charts • Pareto Plot • Diagram • Manage Limits • OC Curves |
|
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: • Life Distribution • Fit Life by X • Cumulative Damage • Recurrence Analysis • Degradation • Repeated Measures Degradation • Destructive Degradation • Reliability Forecast • Reliability Growth • Reliability Block Diagram • Repairable Systems Simulation • Survival • Fit Parametric Survival • 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: • Categorical • Choice • MaxDiff • Uplift • Multiple Factor Analysis |
|
Genetics |
Learn about methods that are available in JMP to help you analyze your genetic data and use that data to simulate a breeding program to predict the optimum genetic crosses to make. |
Describes these Analyze > Genetics menu platforms: • Marker Statistics • Marker Simulation |
|
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. |