Posted on
Updated on
October 31, 2024
Introduction
Analyze data stored on the ERISTwo Linux Cluster using RStudio. RStudio is an integrated development environment for R Statistical Computing.
To follow this guide you must already have an account on ERISTwo.
Instructions
There are two options available, but connecting to RStudio Server in your web-browser is recommended in most cases
option 1: RStudio Server in a Web-Browser
- Connect to https://rstudio.partners.org (alternatively, https://rstudio2.partners.org in case of failed access)
- You will be prompted to enter your Mass General Brigham user ID and password TWICE
- It is necessary to be connected directly to the Mass General Brigham computer network or on VPN.
- To install packages please use the method "curl".
>install.packages("your_package_name", method = "curl") - When done working, please be considerate of other investigators and Quit Rstudio if you will not be using the session again
- To close permanently choose "Quit RStudio..." from the RStudio "File" menu
- To disconnect in order to return later to the running session simply close the web page
option 2: RStudio Application in a Remote Desktop
The RStudio stand-alone application does not have access to as much memory as the RStudio server. Using this approach is for when your R analysis requires a small amount of memory or if you are developing an interactive application (such as with Shiny )
- In the remote desktop, find RStudio in the Applications menu under "Programming"
Notes
- If you wish to develop a web-based application in Shiny, choose the "option 2: RStudio Application in a Remote Desktop" method. When your application is ready to deploy please contact us to have it made accessible from the Mass General Brigham computer network.
- RStudio sessions that are idle for 2 weeks or longer may be terminated without notification. Idle sessions are sessions which
- have not been connected to in 2 weeks
- are not using CPU cycles