ARCHIVED: Use Stata on Karst at IU

This content has been archived, and is no longer maintained by Indiana University. Information here may no longer be accurate, and links may no longer be available or reliable.

Note:

Karst was retired from service on December 18, 2020. Although you can no longer log into Karst, you can access files in your Karst home directory from any of the other IU research supercomputers until December 31, 2021. For information about Quartz, Karst's replacement system, see About Quartz at IU.

At Indiana University, Stata is available on Karst.

To use Stata on Karst, add the Stata package to your shell environment. At the command prompt, enter:

  module load stata

You can run Stata on Karst in interactive mode, non-interactive mode, or from a graphical user interface (GUI) on an X Window System:

Interactive mode: To use Stata in interactive mode, at the command prompt, enter:
```
  stata
```
At the Stata prompt (.), enter a command, and then press Enter or Return to execute the command.

To end your Stata session, at the Stata prompt, enter exit.
Non-interactive (batch) mode: To run a Stata job in non-interactive mode, at the command prompt, enter (replace your_do_file with the appropriate Stata .do file):
```
  stata -b do your_do_file
```
If a .do file is successfully executed, the output will be written to a log file (an input file with a .log extension) in the default directory.
GUI (X Window System) mode: To use Stata in GUI mode, you need to have an X Server running on your computer. If you're using Windows, use an X Server (for example, Exceed) to open an X terminal from Karst (for example, xterm).
To access Stata in the X Window System, at the X terminal prompt, enter:
```
  xstata
```
This will provide an interface similar to the Microsoft Windows or Mac OS environment. To terminate the session, enter exit.

Note:

Stata in GUI mode does not support non-interactive (batch) job processing.

For more, see ARCHIVED: About Stata at IU.

If you have questions about using statistical and mathematical software at Indiana University, contact the UITS Research Applications and Deep Learning team.