Create a custom RStudio Lab

Step 1: Select the Container Apps perspective then select the Docker Labs view.

Step 2: In the view Object Storages, create a new storage "My-New-Storage"

Step 3: Click on the new storage, The Amazon console will open in a new tab. Once you access your AWS S3 bucket, you can upload any relevant files (notebooks, datasets).

Step 4: In the view Docker Labs, right click on RStudio then select clone and name the cloned Docker lab "My-RStudio".

Step 5: Right-click on the new formation that appeared in the Docker Labs and choose Configure.

Step 5.1: Choose the tab Volumes , select Default under Working Volume, choose "My-New-Storage" under Reference Volume.

Step 6: Click on "My-RStudio" to launch , the session will be ready after 2-3 minutes and you'll see a green tick in the upper left corner of the icon, click on the lab to connect to RStudio and find files that you have uploaded to your Storage.

Step 6.1: Click on the session, RStudio will open in a new tab, you can access the files you uploaded on your storage by following the steps below and start working.

     Step 1:  Click More

     Step 2:  Click Go to Working Directory where you will find your files

Step 6.2: Let's Install the "data.table" package.

Step 7: Now to persist the new changes, right-click on the session, choose Create Machine Image, Keep "Update Originator Formation On Success" checked.

Now the new lab is ready and linked to new image, next time when you launch the lab it will create a machine based on your new image and the storages you specified will be mounted automatically.

Step 8: Share the lab with a user, an organization or a group to allow them to reproduce your lab environment using their own keys.