Dramatically Increase the Power and Capabilities of SPSS Discover unlimited programming capabilities with the SPSS Programmability Extension™. This powerful feature enables your organization to extend the SPSS command syntax language with external programming languages, such as Python®, R, and the .NET version of Microsoft® Visual Basic®. The SPSS Programmability Extension is included with SPSS Base. With the SPSS Programmability Extension, you can: - Extend SPSS functionality. The SPSS Programmability Extension enables you to add computations not included in SPSS.
- Write generalized and more flexible jobs. Create generalized jobs by controlling logic based on the Variable Dictionary, procedure output (XML or datasets), case data, and environment. Reusable code means data is not tied to a single program.
- Handle errors with generated exceptions. The SPSS Programmability Extension makes it easy to check whether a long syntax job worked. Hundreds of standard modules for Python are available.
- React to results and metadata
- Build SPSS functionality into other applications
Getting started Since the SPSS Programmability Extension is included with SPSS Base, you can get started quickly. Just integrate SPSS Base with an SPSS Programmability Integration Plug-In to take advantage of this advanced programmability functionality. Use the freeware plug-ins that SPSS Inc. has already built for Python, R, and .NET, or follow the instructions in the SPSS Programmability Extension Software Developer’s Kit (SDK) to build your own. You can download freeware plug-ins from the SPSS Developer Central Web site . New Programmability Integration Plug-Ins are being developed by SPSS Inc., and will be available to download at SPSS Developer Central as soon as they are ready. SPSS Developer Central SPSS Developer Central is the online resource for end users and software developers interested in SPSS-related programming and development. From this Web site, you can download programmability extensions and sample code, access forums and participate in discussions on programmability practices, and read in-depth articles on SPSS programmability topics. At SPSS Developer Central, you’ll also find many example libraries and syntax jobs for use with the SPSS-Python Integration Plug-In. Current Python examples include: - Functions for simplifying the calls to the SPSS backend processor for common tasks
- Functions for working with the SPSS Viewer
- Bootstrap regression
- Poisson regression
We encourage you to visit SPSS Developer Central regularly, as new information is frequently added. To learn more:
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