Overview
R Programming 4.6.0 on Ubuntu 26.04 with Free Maintenance Support by kCloud
R Programming 4.6.0 on Ubuntu 26.04 is a repackaged open-source statistical computing and data analysis platform available through AWS Marketplace. This offering includes free maintenance support from kCloud, with optional paid support services available for organizations that require advanced assistance and operational guidance.
R is one of the world's most widely used programming languages for statistical analysis, data science, machine learning, and data visualization. It provides a comprehensive environment for data manipulation, predictive modeling, reporting, and advanced analytics through its extensive ecosystem of community-contributed packages.
Built on Ubuntu 26.04 LTS and optimized for AWS environments, R Programming provides a scalable and flexible platform for researchers, analysts, developers, and enterprises seeking powerful data-driven insights and analytical capabilities.
What R Programming Does
R enables users to perform statistical analysis, data transformation, predictive modeling, machine learning, and visualization within a single integrated environment. With access to thousands of packages from the Comprehensive R Archive Network (CRAN), users can build sophisticated analytical workflows and automate data-driven decision-making processes.
Whether you are conducting scientific research, developing machine learning models, creating business intelligence reports, or performing large-scale data analysis, R delivers a robust and extensible platform for modern analytics.
Why Choose R Programming on Ubuntu 26.04?
- Comprehensive statistical computing and data analysis capabilities.
- Extensive ecosystem of packages and libraries through CRAN.
- Powerful data visualization and reporting tools.
- Support for machine learning, predictive analytics, and AI workflows.
- Open-source, highly customizable, and scalable.
- Ideal for data scientists, researchers, analysts, and developers.
Technical Highlights
- R Programming 4.6.0 pre-installed and configured.
- Ubuntu 26.04 LTS operating system.
- Thousands of available CRAN packages.
- Advanced statistical and mathematical computing capabilities.
- Built-in support for data visualization and reporting.
- Extensive machine learning and predictive modeling frameworks.
- Optimized for AWS Marketplace deployments.
AWS Marketplace Optimized
This solution is designed for quick deployment on Amazon EC2 and integrates seamlessly into cloud-native analytics and data science environments.
- Pre-configured AWS Marketplace AMI.
- Rapid deployment on Amazon EC2.
- Optimized for analytics and data science workloads.
- Suitable for development, research, testing, and production environments.
- Easy integration with cloud storage, databases, and machine learning pipelines.
Use Cases
- Statistical analysis and research.
- Data science and machine learning projects.
- Business intelligence and reporting.
- Predictive analytics and forecasting.
- Data visualization and dashboard generation.
- Academic and scientific computing.
- Big data analysis and automation workflows.
Benefits
- Accelerate data analysis and research initiatives.
- Build powerful machine learning and predictive models.
- Create professional-quality visualizations and reports.
- Leverage a vast ecosystem of community-supported packages.
- Deploy rapidly in AWS environments.
- Scale analytical workloads efficiently while maintaining flexibility.
Maintenance Support
Free maintenance support from kCloud helps ensure a stable and reliable deployment experience. Organizations can also choose optional support services for additional operational assistance, troubleshooting, and environment optimization.
Why Choose This AWS Marketplace Solution?
R Programming 4.6.0 on Ubuntu 26.04 combines industry-leading statistical computing capabilities with a rich ecosystem of analytical and machine learning tools. Optimized for AWS deployments and backed by kCloud maintenance support, it provides a powerful, scalable, and cost-effective solution for data science, research, and enterprise analytics workloads.
Highlights
- Advanced statistical computing and data analysis platform.
- Extensive ecosystem with thousands of community-contributed packages.
- Cross-platform and highly extensible for research and enterprise applications.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
c5.large | $0.03 |
c4.large | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
t3.small | $0.03 |
t2.small | $0.03 |
m5.large | $0.03 |
Vendor refund policy
No Refund
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect you your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
sudo su
R --version
Connect to your Linux instance using an SSH client - Amazon Elastic Compute Cloud Connect to your Linux instances using an SSH client.
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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