New in JMP® 9
Bring JMP and Excel together
Use the new JMP ribbon in Microsoft Excel to launch an interactive what-if analysis using JMP’s Prediction Profiler.
With the JMP Add-In for Microsoft Excel, you can easily take your data from Excel into JMP. You can also bring the power of the JMP Profiler visualization to your Excel spreadsheets. Interactively explore what-if scenarios using the Profiler as Excel calculates the model in the background, receiving inputs from JMP and sending back outputs. Use JMP’s optimizer to find the best solutions to your stickiest problems and get instant insight into the key factors influencing risk with the simulator built into the Profiler.
Make JMP® your analytic hub
JMP 9 brings the interactive graphics and deep statistics of JMP to R users to enhance the analytic experience by providing flexible, dynamic visualization.
Find out more about JMP for Analytical Application Development
As a member of the SAS family, JMP has long been able to seamlessly leverage the unparalleled analytic capabilities of SAS. Now you can also use JMP 9 with the open-source statistical programming language R. You can display analytic results from R using JMP’s interactive graphics. R programmers can now build user interfaces in JMP 9 to deliver programs to broader audiences.
Get powerful data mining and modeling
The revamped Neural platform in JMP 9 includes techniques to help you mine and model your data with greater accuracy and flexibility. JMP Pro adds even more options. You decide which data to use for cross-validation.* You get rich diagnostics and the ability to fit one- and two-layer* networks with your choice of activation functions.* You can also automate the handling of missing values.*
The addition of bootstrap forests* and boosted trees* to the Partition platform in JMP Pro allows you to safeguard against making predictions that are overly optimistic or skewed by the specific data used. This means the pre- dictive models you build are more likely to generalize well, often with improved classification accuracy as quantified by the usual measures of association.*
*This feature is available only in JMP Pro.
Map out your data
Use maps to find and display patterns in your geographic data.
If you’ve got geographic data, JMP 9 makes it easy to visualize it on a map. Choose from built-in high-quality images, or use your favorite Web Map Service (WMS) to get custom map images from the Internet on the fly. For even more options, JMP 9 includes shape files for borders of many geographic regions and lets you add your own custom shapes, such as for a manufacturing plant or campus.
Flexibly arrange JMP® windows
Enjoy the updated look and flexibility of JMP 9 on Microsoft Windows. JMP windows now float freely instead of residing within a single parent window. Each window is independent of others, so you can arrange and manipulate JMP windows across multiple monitors or side by side on the same monitor. A number of new auto-arrangement features also ease the process of discovery when using multiple views of your data. And JMP’s new Home window gets you into your work efficiently by helping you navigate all open JMP windows and listing files you opened recently.
Make and share custom add-ins
With JMP 9, it’s easier than ever to extend the use of powerful analytics throughout your organization. You can create JMP add-ins – custom analytic applications to share with other JMP users. You can even customize menus and toolbars for your JMP add-in. Look for add-ins that enhance JMP’s capabilities at www.jmp.com/addins.
Learn more about JMP for Analytical Application Development
Predict product quality
The Degradation platform for repeated-measures analysis can generate pseudo-failures for further analysis with the Life Distribution and Fit Life by X platforms.
Learn more
The new Degradation platform in JMP 9 lets you analyze product deterioration data over time to help predict product quality and warranty risk. JMP 9 can analyze data resulting from both nondestructive – repeated measures or stability analysis – and destructive testing.
Using these techniques, you can make performance predictions before products and components become ineffective or fail altogether. Define the best model (linear or nonlinear), create pseudo-failure times, and then analyze with the Life Distribution and Fit Life by X platforms to predict and improve reliability, cut costs and prevent catastrophic failure.
More on JMP 9
Introducing JMP® 9
(PDF, 1MB, Oct. 2010)
The JMP® Family of Products
(PDF, 513KB, Oct. 2010)
JMP® 9 New Features
(PDF, 540KB, Oct. 2010)
Contact JMP Sales
877.594.6567 (US)
