SAS JMP Statistical Discovery v9.0.2 434 MB
What if you could explore your data to see the story behind the numbers? You can. Created by SAS for statisticaldiscovery, every product in the JMP software suite is visual and interactive, comprehensive and extendible. No matter what your field, we have a product that will helpyou connect with your data whether you are new to statistical analysis or are a seasoned statistician.
Your analytic options continue to expand with JMP 9. Youget powerful new ways of understanding, visualizing and communicating what your data is telling you. And when you make JMP your analytic hub, you can leverage yourother favorite tools: SAS, Excel and R. You can also incorporate geographic maps into your JMP visualizations. Plus, an updated interface on Microsoft Windows makes fora fresh user experience.
Now you also choose the JMP version that suits your needs best. JMP 9 is the latest version of the interactive, dynamic software forstatistical discovery that users worldwide know and love with lots of major enhancements. And JMP Pro contains everything in JMP plus advanced analytic techniques fordata mining and predictive modeling.
Bring JMP and Excel together
With the JMP AddIn 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 whatif scenarios using the Profiler as Excel calculatesthe model in the background, receiving inputs from JMP and sending back outputs. Use JMPs optimizer to find the best solutions to your stickiest problems and getinstant insight into the key factors influencing risk with the simulator built into the Profiler.
Map out your data
If youve got geographic data, JMP 9 makesit easy to visualize it on a map. Choose from builtin highquality images, or use your favorite Web Map Service (WMS) to get custom map images from the Internet on thefly. 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 plantor campus.
Make and share custom addins
With JMP 9, its easier than ever to extend the use of powerful analytics throughout your organization. You can createJMP addins custom analytic applications to share with other JMP users. You can even customize menus and toolbars for your JMP addin. Look for addins that enhance JMPscapabilities at www.jmp.com/addins.
Flexibly arrange JMP windows
Enjoy the updated look and flexibility of JMP 9 on Microsoft Windows. JMP windows now floatfreely instead of residing within a single parent window. Each window is independent of others, so you can arrange and manipulate JMP windows across multiple monitorsor side by side on the same monitor. A number of new autoarrangement features also ease the process of discovery when using multiple views of your data. And JMPs newHome window gets you into your work efficiently by helping you navigate all open JMP windows and listing files you opened recently.
Predict product quality
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 dataresulting from both nondestructive repeated measures or stability analysis and destructive testing.
Using these techniques, you can make performance predictionsbefore products and components become ineffective or fail altogether. Define the best model (linear or nonlinear), create pseudofailure times, and then analyze with theLife Distribution and Fit Life by X platforms to predict and improve reliability, cut costs and prevent catastrophic failure.
JMP 9 KEY FEATURES
The new Degradation platform lets you analyze product deterioration data over time to help you predict product quality and warranty risk.
The newNeural platform replaces the Neural Net platform and adds enhancements such as richer diagnostics, including several measures of fit and diagnostic plots. With JMP Pro,choose which data to use for crossvalidation. Also in JMP Pro, get automated handling of missing data and automated transformation of input variables.
Use the JMP Profiler to visualize models contained in Excel spreadsheets.
Optimize and simulate using your Excel spreadsheets.
Use the addintoolbar to copy data from Excel into JMP directly.
Interface to R
Interact with R using JMP Scripting Language (JSL).
Submit statements to R from withina JSL script.
Exchange data between JMP and R.
Display graphics produced by R.
Incorporate geographic maps into graphs.
Graph twoindependent Y variables on separate axes.
Work with subsets of large data tables using the new Sampling function.
See the shape of your data using densitycontours.
Plot error bars and confidence intervals.
A new drop zone under the Group Y area supports a Frequency (or Weight) variable.
Graph Builder usesnew custom color scale and gradient capabilities.
New Windows Environment
User interface for Microsoft Windows has been completely revamped.
All windowsare now independent of one another, so its easier to use JMP on multiple monitors.
The Home window lists JMP files opened recently and all open JMP windows.
Use bootstrap forests to help ensure your predictions will generalize well.
Employ boosted trees to increase the accuracy of your predictions.
Use a crossvalidation column to easily compare different model types and make sure that predictions generalize well.
Design of Experiments (DOE)
In CustomDesign, choose a new optimality criterion: Minimum Aliasing Design.
In Custom Design, model and alias terms are available, and an alias model always appears.
In Custom Design, a color map of correlations of all model terms and aliasing terms appears.
Accelerated Life Test Design, a new DOE platform, lets you designhigh stress tests to simulate failure quickly so you can find product weaknesses more easily and faster.
In demonstration plans, design a test to compare thereliability of a new product to a standard.
In reliability test plans, determine the sample size or length of study needed to obtain a given precision about afitted quantile or probability.
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