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R Essentials for Statistics or Modeler

R Essentials enables using R within SPSS Statistics or Modeler. Each SPSS product and version has a different R Essentials, so choose the right download for your version. Download the version for your platform and follow the installation instructions. Be sure to read the installation instructions. You must download and install the appropriate R version from the R CRAN site before installing the Essentials.

Note: You need to log in with an IBM ID to access these downloads.



Python and .NET Essentials for SPSS Statistics

The Python Essentials for Statistics versions 22 and later are fully integrated with the main Statistics installation. They are no longer a separate item. You can install additional extension commands or update ones already installed from the Utilities menu within Statistics. Use the table below as a guide for different versions of SPSS Statistics.

Version of SPSS Statistics Explanation Link to download for Windows (if applicable)
Versions 22 and later Python essentials fully integrated. .NET plug-in is a separate download Separate download from the site where you download Statistics
Version 21 Python Essentials and .NET Plug-in are fully integrated with installation No download necessary
Version 20 Python Essentials and .NET Plug-in are available for download NOTE: if you have the 20.0.0.0 or 20.0.0.1 version of the Essentials installed, you must uninstall it before installing this update. Link for download
Version 19 Python Essentials and .NET Plug-in are available for download NOTE: They are compatible with Statistics 19.0.0, 19.0.0.1, and 19.0.0.2. Link for download
Version 18 Python Essentials and .NET Plug-in are available for download NOTE: They are compatible with Statistics 18.0.2 and 18.0.3. Link for download
Get Extensions!

Click the button below to see the extensions currently available on the IBM Predictive Analytics GitHub page. Add to what you can get done in SPSS Statistics and Modeler by getting extensions that connect to APIs, plot geospatial data, add external data sources, process advanced statistical techniques not currently featured in the products, and many other things.