SAS University Edition: Help Center

What new features are available in the latest release of SAS University Edition?

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A new release of SAS University Edition, which uses SAS Studio 3.71 and runs on SAS 9.4M5, was released in February 2018. The changes for this release are a new software license and internal security fixes.

The December release of SAS University Edition, which used SAS Studio 3.7, included the following new functionality. This functionality is also available in SAS Studio 3.71.

  • The new Base SAS SGMAP procedure merges the functionality of ODS Graphics with the map manipulation capabilities of existing procedures. These procedures include Base SAS GEOCODE and MAPIMPORT, as well as the SAS/GRAPH procedures. Use the SGMAP procedure to create maps and also overlay plots such as text, scatter, or bubble plots. For more information, see SGMAP: Now in Base SAS!.

  • In SAS/STAT 14.3, the new CAUSALMED procedure estimates mediation effects from observational data. For more information, see What's New in SAS/STAT 14.3.

  • In SAS Studio, you can open an existing SAS Enterprise Guide project. SAS Enterprise Guide projects are converted to a process flow in SAS Studio. For more information, see Converting SAS Enterprise Guide Projects to SAS Studio Process Flows.

  • In SAS Studio, log updates appear as a procedure is processed. This option is set by default and might have a slight effect on performance. To turn off this functionality, clear the Stream log updates while a procedure is running option, and the log is displayed when the procedure has finished running. For more information, see Setting General Preferences.

  • new SAS Studio tasks.

    Data tasks Recode Values, Recode Ranges
    Graph tasks Heat Map
    Power and Sample Size tasks Custom Tests, Equivalence Tests

    The user interfaces for all of the graph tasks (Bar Chart, Pie Chart, Scatter Plot, and so on) have been redesigned.

  • SASPy, an interface to SAS that automatically generates SAS code from your Python 3.x scripts, is available. You can import the SASPy module into Jupyter Notebook for SAS University Edition, create a connection to your SAS server, and then use Python objects and syntax to access SAS data and your licensed SAS software. You can also exchange data using the pandas software library. For more information, see What Is SASPy?