RStudio on Amazon SageMaker user guide
With RStudio support in Amazon SageMaker, you can put your production workflows in place and take advantage of SageMaker features. The following topics show how to launch an RStudio session and complete key workflows. For information about managing RStudio on SageMaker, see RStudio on Amazon SageMaker management.
For information about the onboarding steps to create an Amazon SageMaker domain with RStudio enabled, see Amazon SageMaker domain overview.
For information about the AWS Regions that RStudio on SageMaker is supported in, see Supported Regions and Quotas.
Topics
Collaborate in RStudio
To share your RStudio project, you can connect RStudio to your Git repo. For information
on setting this up, see Version Control with Git and SVN
Note: Project sharing and realtime collaboration are not currently supported when using RStudio on Amazon SageMaker.
Base R image
When launching your RStudio instance, the Base R image serves as the
basis of your instance. This image extends
the r-session-complete
This Base R image includes the following:
-
R v4.0 or higher
-
awscli,sagemaker, andboto3Python packages -
Reticulate
package for R SDK integration
RSession application colocation
Users can create multiple RSession applications on the same instance. Each instance type supports up to four colocated RSession applications. This applies to each user independently. For example, if two users create applications, then SageMaker allocates different underlying instances to each user. Each of these instances would support 4 RSession applications.
Customers only pay for the instance type used regardless of how many Rsession applications are running on the instance. If a user creates an RSession with a different associated instance type, then a new underlying instance is created.
