NUVOLOS
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  • Getting Started
    • Introduction to Nuvolos
    • Documentation structure
    • Nuvolos basic concepts
      • Organisational hierarchy
      • Applications
      • Distribution
      • Data integration
      • Snapshots
      • Background tasks
    • Navigate in Nuvolos
    • Quickstart tutorials
      • Research
      • Education (instructor)
      • Education (student)
  • Features
    • Applications
      • Application resources
      • Sessions
        • Session Logs
      • Install a software package
      • Create a persistent .bashrc
      • Automatic code execution
      • Long-running applications
      • Troubleshooting applications
      • New applications or licenses
      • Configuring applications
      • Exporting applications
      • Add-ons
        • MariaDB add-on
        • PostgreSQL add-on
        • OpenSearch add-on
        • MongoDB add-on
        • Redis add-on
        • PostGIS add-on
        • Rclone mount add-on
        • Neo4j add-on
    • File system and storage
      • File navigator
      • Large File Storage
      • Preview files
      • Mount Dropbox
      • Access S3 buckets with RClone
      • Access remote files with SSHFS
      • Access files on SharePoint Online
    • Object distribution
      • Distribution strategies
      • The distributed instance
    • Snapshots
      • Create a snapshot
      • Restore a snapshot
      • Delete a snapshot
    • Database integration
      • Create datasets
      • View tables
      • Build queries
      • Upload data
      • Access data from applications
        • Set up ODBC drivers
        • Obtain tokens for data access
        • Find database and schema path
      • DBeaver integration
    • Environment variables and secrets
    • Searching
      • Page
      • Find an application
      • Find an organisation
      • Find a space
      • Find an instance
      • Find a state
    • Video library
    • Nuvolos CLI and Python API
      • Installing the CLI
      • Using the CLI
  • User Guides
    • Research guides
      • Inviting a reviewer
      • GPU computation
    • Education guides
      • Setting assignments
        • Programmatical assignment handling
      • Documenting your course
      • Setting up group projects
        • Collaborative application editing
      • Configuring student applications
      • Archiving your course
      • Student guides
        • Joining a course
        • Working on assignments
        • Leaving a course
    • Application-specific guides
      • JupyterLab
      • RStudio
      • VSCode
      • Stata
      • MATLAB
      • Terminal
      • Terminal [tmux]
      • Apache Airflow
      • Apache Superset
      • D-Wave Inspector
      • MLFlow
      • Databricks Connect
      • Dynare.jl
      • CloudBeaver
      • InveLab
      • Overleaf
      • Metabase
      • DNDCv.CAN
      • OpenMetaData
      • Uploading data to the Large File Storage
    • Data guides
      • Setting up a dataset on Nuvolos
      • Importing data on Nuvolos
      • A complete database research workflow (Matlab & RStudio)
      • Accessing data as data.frames in R
      • Working with CRSP and Compustat
      • Working with the S&P 500®
  • Pricing and Billing
    • Pricing structure
    • Resource pools and budgets
    • Nuvolos Compute Units (NCUs)
  • Administration
    • Roles
      • Requesting roles
    • Organisation management
    • Space management
      • Invite to a space
      • Revoke a space user
      • HPC spaces
      • Resting spaces
    • Instance management
      • Invite to an instance
    • Enabling extra services
    • Monitoring resource usage
  • Reference
    • Application reference
      • InveLab
        • Dataset selection
        • Modules
          • Time-series visualisation
          • Moment estimation
          • Mean-variance frontiers
          • Frontiers
          • Dynamic strategy
          • Portfolio analysis
          • Performance analysis
          • Benchmarking
          • Carry trade strategies
          • Risk measures
          • Conditional volatility
          • Replication
          • Factor factory
          • Factor tilting
          • Valuation
    • Glossary
  • FAQs
    • FAQs
    • Troubleshooting
      • Login troubleshooting
        • I forgot my email address
        • I forgot my identity provider
        • I can't log in to Nuvolos
        • I forgot my password
        • I haven't received the password reset email
        • I haven't received the invitation email
      • Application troubleshooting
        • I can't see an application
        • I can't start an application
        • I can't create an application
        • I can't delete an application
        • I can't stop a running application
        • JupyterLab 3 troubleshooting
        • Spyder 3.7 troubleshooting
      • Administration troubleshooting
        • I can't see a space
        • I can't create a space
        • I can't delete a space
        • I can't invite admins to my space
        • I can't see an instance
        • I can't create an instance
        • I can't delete an instance
        • I can't invite users to an instance
        • I can't see distributed content in my instance
        • I can't see a snapshot
        • I can't create a snapshot
        • I can't delete a snapshot
        • I can't revoke a user role
        • I can't upload a file
        • I can't delete a file
        • I can't invite students to my course
      • Content troubleshooting
        • I can't find my files in my Linux home
        • I can't find my files among the Workspace files
        • I restored a snapshot by mistake
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On this page
  • Recovering an unresponsive RStudio session
  • RStudio is responsive but it doesn't accept commands
  • Using Tensorflow and Keras with RStudio
  • GitHub CoPilot with RStudio

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  1. User Guides
  2. Application-specific guides

RStudio

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Last updated 1 year ago

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For Rstudio we recommend using the 'Local Jobs' feature to run jobs in the background. This way you can submit multiple jobs whilst also making sure the job continues to run if you navigate away from Rstudio without blocking the interface.

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Recovering an unresponsive RStudio session

In certain cases RStudio sessions can become unresponsive, due to large amounts of output printed or large amount of data loaded. If restarting the application in Nuvolos doesn't resolve the issue, you can follow the steps in the guide to clear the application state.

RStudio is responsive but it doesn't accept commands

If you can interact with the RStudio window (menu items are working, dropdowns open, etc.) but commands you try to run in R will not execute, it might be that the R console is showing a plus sign at the start of the line:

If this is the case, R is waiting for further input. As you can see in the above example, a curly brace was open, and R waits the curly brace to be closed for the expression to be complete (and executable).

If you want to cancel the statement, make sure to focus on the R console in RStudio by clicking on it, then hit the Escape button on your keyboard.

Using Tensorflow and Keras with RStudio

Tensorflow and Keras can be installed via miniconda in Rstudio. To install them, use the following steps:

  1. Restart the R session to be in a clean setting (select Session > Quit Session on the top menu)

  2. Make sure reticulate can use miniconda via running in the R commands:

Sys.setenv("RETICULATE_MINICONDA_ENABLED" = TRUE)
reticulate::install_miniconda()

3. Install tensorflow R package and then call the install_tensorflow() function. If you would like to use GPU acceleration, run install_tensorflow(version="gpu"):

install.packages("tensorflow") 
library(tensorflow)
install_tensorflow() # use install_tensorflow(version = "gpu") for GPU support

4. Install Keras R package and then call the install_keras() function:

install.packages("keras")
library(keras)
install_keras()

GitHub CoPilot with RStudio

Starting from RStudio app version R 4.3.2 with RStudio 2023.09, the GitHub CoPilot integration is configurable in Global Options:

To test the installation, follow the example from the RStudio website:

https://tensorflow.rstudio.com/guide/keras/#mnist-example
Learn more about local jobs in Rstudio
Application Troubleshooting
R waiting for further input
After the cancelled statement