INTERACTIVE
RUNNING R STUDIO IN GALILEO
Matthew Gasperetti
matthew@hypernetlabs.ioWritten and developed by
Alexander Berry
alexander@hypernetlabs.ioGetting Started with R Studio in Galileo
To get started with Galileo, log into your account using Firefox or Chrome.
Let’s Have a Look at Our Files
The rMonteCarlo.R script conducts a linear regression, makes a simple plot, and then runs two Monte Carlo simulations.
The first Monte Carlo simulates tossing two dice and calculates the number of rolls that are 7 or less. The second Monte Carlo increases the number of iterations and runs the simulation in parallel.
Understanding the User Interface
When you log into Galileo, the first thing you’ll see is your Dashboard:
To run the R example, start by navigating to the Missions tab using the side menu. Clone the R Batch example Mission from the Explore Missions tab. Use the filter to search for the mission by name and click “Apply”.
Once you have found the correct Mission, click “View Mission”.
Set the default amount of To clone the public Mission to your account, click the “Clone” button in the upper right corner of the interface. Choose between creating a public or private clone and also choose which Cargo Bay to use.
You will now see a cloned copy of the Mission in your Missions.
Running a Job and Collecting Results
You will now see the new Mission Now we are ready to run a job using the Mission.
Click the Run button in the upper right corner of the Mission tab. You will see a “Mission run successfully!” message.
At the bottom of the Mission tab, you can track the progress of the job.
Once the computation is completed, the job will shut down and collect the results.
Once the job progress reads “Completed”, you can download the results by opening the three-dot menu and clicking Download.
Let’s take a look at the the output.log file first, which returns the results of the regression and simulation:
Next, if we look in the results folder, we can see the plot we created for the regression: