Sold by: Elm Computing
Overview
This is a repackaged open source software product wherein additional charges apply for support by Elm Computing.
Disclaimer: All trademarks referenced in this listing belong to their respective owners. Their use does not imply any affiliation with or endorsement by the trademark holders.
This RShiny Server AMI is a pre-built image of RShiny Server that can be quickly launched and comes with the latest version of R and RShiny Server, along with a selection of popular R packages covering various domains:
- data science
- machine learning
- econometrics
- teaching statistics
- time series analysis
- database
- Bayesian statistics
- clinical trials
- medical image processing
- natural language processing
- epidemiology
- experimental design
- psychometric methodology
- analysis of pharmacokinetic data
- analysis of spatial and spatiotemporal data
- reproducible research
- phylogenetics
- web technologies
- hydrology
- sports analytics
- actuarial science
- optimization
- genomics, proteomics, metabolomics, transcriptomics, and other omics
The details can be found at http://docs.elmcomputing.io listing all the installed R packages.
After the EC2 instance is started, you can access the RShiny Server with its public IP address.
The RShiny applications are served from the directory /srv/shiny-server.
Highlights
- Up-to-date R and RShiny Server
- Thousands of R packages
- Elm Computing Support
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m6a.2xlarge Recommended | $0.10 |
t2.micro AWS Free Tier | $0.10 |
t3.micro AWS Free Tier | $0.10 |
d3.xlarge | $0.10 |
c6a.32xlarge | $0.10 |
c7i.8xlarge | $0.10 |
m6in.32xlarge | $0.10 |
c7i.large | $0.10 |
c5ad.8xlarge | $0.10 |
m5a.4xlarge | $0.10 |
Vendor refund policy
Refunds are generally not available. Instances are billed hourly based on actual usage and can be terminated at any time to stop charges.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Update R to version 4.5.1, upgrade all R packages to their latest versions, and apply security patches.
Additional details
Usage instructions
After the EC2 instance is started, you can access the RShiny Server with its public IP address. For example, if the IP address is 10.11.12.13, typing http://10.11.12.13 in the browser will bring you to the RShiny Server page.
The details can be found at https://docs.elmcomputing.io listing all the installed R packages.
Resources
Vendor resources
Support
Vendor support
Please do not hesitate to contact us at support@elmcomputing.io if you have any questions.
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.
Updated weekly
By Elm Computing
By RRecktek
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AI generated from product descriptions
Statistical Computing Environment
Pre-configured server with latest R and RShiny Server versions
Package Ecosystem
Comprehensive collection of R packages spanning multiple scientific and analytical domains
Domain Coverage
Supports specialized packages for data science, machine learning, econometrics, statistics, and advanced research fields
Server Configuration
Serves RShiny applications from standard directory /srv/shiny-server
Web Application Hosting
Enables direct access to RShiny Server applications using EC2 instance public IP address
Multi-IDE Support
Provides multiple integrated development environments including JupyterLab, Jupyter Classic Notebook, RStudio, and VSCode
Language and Package Management
Supports multiple Python and R versions with pre-configured popular open-source data science packages
User Authentication
Implements industry-standard user management system based on KeyCloak with external LDAP and Kerberos federation capabilities
GPU Acceleration
Includes GPU support with multiple CUDA versions optimized for PyTorch and TensorFlow frameworks
Operating System Base
Built on Ubuntu 22.04 Linux distribution with flexible infrastructure configuration
Computational Environment
Optimized data analysis platform supporting R version 4.3 and Python 2 & 3 with comprehensive package ecosystem
Package Ecosystem
Comprehensive collection of over 29,000 CRAN packages for advanced statistical and computational analysis
Integrated Development Tools
Includes RStudio Desktop, RStudio Server, and Shiny server for comprehensive data science workflow
Performance Optimization
Intel-compiled performance-enhanced versions of R and Python with specialized optimization techniques
Security Framework
Advanced adaptive security mechanisms designed to dynamically protect against potential computational attacks
Standard contract
No
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