Using RStudio on the Quest Analytics Nodes
How to use RStudio on the Quest Analytics Nodes.
The Quest Analytics Nodes allow users with active Quest allocations to use RStudio from a web browser. See Research Computing: Quest Analytics Nodes for an overview of the system.
Note: you cannot submit jobs to the Quest job scheduling system using the Quest Analytics Nodes.
Users must already have a Quest account and an active Quest allocation.
Connections to the Quest Analytics Nodes are limited to the Northwestern network. If you are connecting from off-campus, you must use the Northwestern VPN.
Using any browser, connect to: https://rstudio.questanalytics.northwestern.edu
Sign in with your NetID and password.
You can also transfer files smaller than 500MB using the Files tab in RStudio. There is an upload button that will allow you to select files from your computer to transfer.
When you connect to RStudio, you will initially be in your home directory. This is /home/<netid> on Quest.
To access a project directory, click on the button with three small dots on the right in the Files tab. Then enter the full path to your project folder (ex. /projects/<allocationID>).
To transfer files larger than 500MB to Quest, please use SFTP or another transfer method.
Users may install packages using the Packages tab in RStudio version 1.3.1093 or the install.packages function in R. Any packages you install on Quest for R version 4.0.3 will also be available to you on the Quest Analytics Nodes. Some packages that require code to be compiled may need to be installed by connecting to a Quest login node and following the tips below. Please see Installing and Managing R Packages on Quest for more information.
RStudio is version 1.3.1093. R is version 4.0.3. The Analytics Nodes are limited to running a single version of R for all users.
The Quest Analytics Nodes are shared by many researchers. Please be aware of your memory use when analyzing large data sets. Users utilizing a large amount of memory, especially those using over 60GB of RAM, may be asked to move their analysis to other systems. Multicore and parallel processes should not be run on the Analytics nodes. Users needing to run computationally intensive jobs should schedule interactive or batch jobs on Quest instead of using the Analytics nodes. Please contact Research Computing at firstname.lastname@example.org with questions about R memory use or analyzing large data sets.
Issues or Problems with the Analytics Nodes
To report issues or problems with the Analytics Nodes, please email email@example.com with information on which service you were using (RStudio), the error you received or problem you encountered, and what you were doing prior to the problem occurring. Please note that you were using the Analytics Nodes.