JMP is exploratory data analysis and modeling software for the desktop that is interactive and easy to use. JMP presents the results of analysis both graphically and numerically. JMP makes data analysis - and the discoveries that result - visual and helps to communicate those discoveries to others. The graphs in JMP are linked to each other and to the data, which makes it easier to discover trends, outliers and other patterns in the data. Customers use JMP to explore the causes of problems, design experiments, explore models and perform reliability analysis, to name a few of its capabilities.
SAS Add-ins for JMP
Integration of SAS and JMP for targeted applications may expand access to specific SAS software features to users who might already be comfortable working with the JMP interface or who prefer not to write code. The applications below all feature advanced analytic procedures from SAS delivered in a JMP environment.
Using a graphical interface, SAS Structural Equation Modeling for JMP enables you to specify a path diagram to represent one of a variety of structural equation models (SEMs). You can specify models with only observed variables (for example, regression and path analysis models) or models that have both observed and latent variables (for example, factor analysis and latent curve models). In addition to building path diagrams, the interface can translate the path diagrams into statements in the SAS/STAT® CALIS procedure, run the statements and display the results in JMP. See more information about SAS Structural Equation Modeling for JMP.
SAS Econometrics and Time Series Analysis for JMP is also graphical user interface that provides access to SAS/ETS® procedures. You can use the interface to build autoregressive or heteroscedastic error models, unobserved component models, and panel analysis models. After you specify a model in the interface, SAS Econometrics and Time Series Analysis for JMP translates the model specifications into statements for the relevant SAS/ETS® procedure, runs the statements, and displays the results in JMP. See more information about SAS Econometrics and Time Series Analysis for JMP.
The most current release is JMP 10.0.1
The fully functional trial copy allows you to import, export, manipulate, and save the kinds and amount of data you need to do your job. Use our sample data or your data. Experience firsthand how JMP helps you make quick, sound, data driven decisions that go straight to the bottom line.
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Free Online Documentation
- Most recent release for JMP
- JMP 11 Basic Analysis [PDF] (2.27MB)
- JMP 11 Consumer Research [PDF] (1.55MB)
- JMP 11 Design of Experiments Guide [PDF] (4.05MB)
- JMP 11 Discovering JMP [PDF] (2.09MB)
- JMP 11 Essential Graphing [PDF] (4.72MB)
- JMP 11 Fitting Linear Models [PDF] (4.24MB)
- JMP 11 JSL Syntax Reference [PDF] (1.16MB)
- JMP 11 Multivariate Methods [PDF] (1.35MB)
- JMP 11 New Features [PDF] (729KB)
- JMP 11 Profilers [PDF] (1.78MB)
- JMP 11 Quality and Process Methods [PDF] (2.29MB)
- JMP 11 Quick Reference [PDF] (83.5KB)
- JMP 11 Reliability and Survival Methods [PDF] (2.6MB)
- JMP 11 Scripting Guide [PDF] (3.36MB)
- JMP 11 Specialized Models [PDF] (2.45MB)
- JMP 11 Using JMP [PDF] (4.0MB)
- All online documentation for supported releases of JMP [HTML]
- JMP Administrator Guides (in multiple languages) [HTML]
SAS Publishing Representatives are available in the U.S. from 8-5 ET to answer your documentation questions. Contact us at 1-800-727-3228 or e-mail.
For additional information, please visit the JMP Training Homepage
Curriculum consultants are available in the U.S. from 9-5 EST. Contact us at 1-800-333-7660 or e-mail.
International customers, please contact your country office.
Online Support ResourcesThis page contains online support resources that are specific to this product. Visit the Support page to access various self-help and assisted-help resources or submit a problem through the SAS Technical Support form.
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NotesThe JMP Knowledge Base contains a list of the most recent entries and a search box.