Tutorial: Running RStudio in Galileo

Written and developed by

Matthew Gasperetti
Alexander Berry

Tutorial: Running RStudio in Galileo

Written and developed by

Matthew Gasperetti


Alexander Berry


Getting started with RStudio in Galileo

(Interactive – for R Batch Mode click here)

Getting started with RStudio in Galileo

To get started with Galileo, log into your account using Firefox or Chrome and download our R example file from GitHub. The downloaded file consists of a .r file and a .csv file.

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:

View of the Galileo Dashboard

To run the rExample, start by navigating to the Missions tab using the side menu. On the Missions tab, click the Create a custom mission button.

Mission view

Configure the mission by selecting the mission type. Choose R Language and then select the version: Batch Mode, Interactive (Jupyter), or Interactive (R Studio). This tutorial will use RStudio.

Next, give the mission a name and assign it to a default station to use. This tutorial will use the Linux station. Click Next.

Configuring the mission

Set the default amount of computational resources for the mission. Choose the CPU resources, GPU resources, and memory resources. Click Next.

Set default resources

Create the mission environment by choosing a username and password to access the RStudio session. You can also install any CRAN or Bioconductor repositories either by selecting them from the drop-down menu of popular repositories or by entering the packages’ names manually. Click Next.

Create the mission environment

Finally, select the Cargo Bay you will use for this Mission. You can choose from the default Hypernet storage or an external storage provider. Galileo works seemlessly with cloud storage platforms such as Dropbox and Storj. Find out more about using these platforms here. Click Submit.

The Mission has now been created!

Running a job and collecting results

You will now see the new Mission reflected in the Mission tab. Click Update Mission to add and edit the Mission’s files.

The new Mission in the Mission tab

Upload the .r and .csv example files by clicking the Upload File button. You will see the files in the Mission interface.

The uploaded files are now visible

It is possible to edit text files directly in the Mission tab by using the Mission text editor. Find out more about the editor by clicking here to visit the Galileo forum.

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.

You can track the job’s progress below

Once the job’s status is “Job In Progress”, you are ready to open RStudio. Click Job In Progress and then click the tunnel URL.

Click on the tunnel URL

Enter the Mission user name and password you set previously. You will then see the noVNC prompt. Click Connect.

You are now using RStudio in Galileo! It works just like RStudio on your desktop, and you have immediate access to the files you uploaded as part of the Mission.

RStudio in Galileo

Once you have finished working in RStudio, navigate back to the Mission tab and open the three-dot menu in the Jobs progress panel. Stop the job by clicking Stop Job.

Stop the job

The job will shut down and collect the results. Once the job progress reads “Completed”, you can download any files generated by the R job by opening the three-dot menu again and clicking Download.

Download results

We hope this tutorial was helpful. Please let us know if you have any questions or any problems using Galileo. Your feedback is extremely important to us. Contact us anytime at matthew@hypernetlabs.io or alexander@hypernetlabs.io.