We have implemented a bring-your-own license system. To use Stata with Galileo please add your stata.lic file from your home or office computer running Stata 16 to your Galileo project folder. On OS X, the file can typically be found at /Applications/Stata/stata.lic or by searching the file system.
We do not sell Stata licenses. Additional information on Stata can be found at their website. Any other inquiries about Stata or licensing can be directed to firstname.lastname@example.org.
Getting started with Stata in Galileo
To get started with Galileo log into your account using Firefox or Chrome, and download our Stata example file from GitHub. The downloaded file consists of a .do file, a .dta file, and a Dockerfile.
Let’s have a look at our files
Our Stata example folder contains three files named carsdata.do, carsdata.dta, and Dockerfile. The carsdata.do script conducts a linear regression using the carsdata.dta dataset and makes a simple plot. .
Understanding the user interface
When you log into Galileo, the first thing you’ll see is your Dashboard:
View of the Galileo Dashboard
To run the Stata example, start by navigating to the Missions tab using the side menu.
Drag and drop the entire Stata example folder you downloaded from our GitHub to the “Add a mission” staging area. Once the folder has been uploaded, click on the “Run mission” button in the newly-created “Galileo-examples-Stata” mission below the staging area. You will be asked to select a station on which to run the mission.
Choose the “Linux” station to begin and click “Run mission”. After the mission has been launched, you’ll be able to see the job running in the Jobs tab. The job runs quickly in Galileo – try running it locally and comparing.
When the example job completes, hit the Download button under Action to download the results.
The results folder will be downloaded as a .zip that contains an output.log file returning the results of the analysis and a folder called results where plots and other files that were created by the analysis are stored.
The Downloaded .zip file contains a folder called results and a file called output.log
Let’s take a look at the output.log file first, which returns the results of the regression we ran:
Summary of the results of the simple regression and Monte Carlo simulations
Next, if we look in the results folder, we can see the plot we made: