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R is a free, open-source programming language and software environment widely used for statistical computing, data analysis, machine learning, data visualization, and research. It provides a rich ecosystem of packages and libraries that enable users to perform advanced analytics, build predictive models, generate reports, and create high-quality visualizations across various domains.

This pre-configured 1-Click App deploys R Programming on Ubuntu 24.04 LTS with essential development tools installed and configured, including R, Git, cURL, and Wget. The application is designed to provide a reliable, scalable, and user-friendly environment for data scientists, researchers, analysts, and developers, allowing them to quickly start developing, testing, and running R-based applications and analytical workflows on DigitalOcean.

Software Included

This Marketplace listing does not include a detailed software list.

Creating an App using the Control Panel

Click the Deploy to DigitalOcean button to create a Droplet based on this 1-Click App. If you aren’t logged in, this link will prompt you to log in with your DigitalOcean account.

Creating an App using the API

In addition to creating a Droplet from the R-programming-on-ubuntu-24.04 1-Click App using the control panel, you can also use the DigitalOcean API. As an example, to create a 4GB R-programming-on-ubuntu-24.04 Droplet in the SFO2 region, you can use the following curl command. You need to either save your API access token to an environment variable or substitute it in the command below.

curl -X POST -H 'Content-Type: application/json' \
         -H 'Authorization: Bearer '$TOKEN'' -d \
        '{"name":"choose_a_name","region":"sfo2","size":"s-2vcpu-4gb","image":"apps4rent-rprogrammingonub"}' \
        "https://api.digitalocean.com/v2/droplets"

Getting Started After Deploying R-programming-on-ubuntu-24.04

Getting Started After Deploying R Programming on Ubuntu 24.04

Once the R Programming on Ubuntu 24.04 One-Click Droplet is created, you can log into it as root. Make sure to substitute the Droplet’s public IPv4 address.

ssh root@your_droplet_public_ipv4

R and the required development tools are already installed and ready to use.

To verify the installation, run the following commands:

• R --version : Verify the installed R version.
• Rscript --version : Verify the installed Rscript version.
• git --version : Verify the installed Git version.
• curl --version : Verify the installed cURL version.
• wget --version : Verify the installed Wget version.

Start an interactive R session:

R

Exit the R console:

q()

Useful R commands:

R
Rscript script.R
Rscript --version

Check the installation paths:

which R
which Rscript

View installed R packages:

dpkg -l | grep r-base

After logging in for the first time, you can:

• Create and run R scripts.
• Install additional R packages from CRAN.
• Perform statistical analysis and data visualization.
• Build machine learning and data science projects.
• Use Git for version control and collaboration.

This environment is ready for statistical computing, data analysis, research, and development workloads on DigitalOcean.