Overview
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
Typical total price
$0.446/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.10 | $0.186 | $0.286 |
t2.2xlarge | $0.10 | $0.371 | $0.471 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
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
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
Upgraded R to 4.4.2, and all R packages to their latest versions.
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.