Installing RStudio Workbench#
You have already installed R from pre-compiled binaries. In this session you:
- Review the RStudio Workbench installation checklist
- Install RStudio Workbench
- Discuss architecture and some best practices
Requirements#
Configuration and sizing#
The support article Configuration and sizing recommendations provides some guidelines on recommended server sizes.
The answer is it depends, but as a general guideline:
| Product | Minimum (CPU / Memory) | Recommended (CPU / Memory) |
|---|---|---|
| RStudio Workbench | 2 core / 4G | 4 - 16 core / 8G - 256G |
| RStudio Connect | 2 core / 4G | 8 - 16 core / 32G - 128G |
| Shiny Server Pro | 2 core / 4G | 4 - 8 core / 4G - 64G |
| RStudio Package Manager | 2 core / 2G (RAM) / 50 G (Disk) | 2 core / 2 G (RAM) / 200 G (Disk) |
Pre-requirements#
To install RStudio Workbench you need:
- Root privileges for installing and running
- Access to the R programming language (we recommend installing from pre-compiled binaries)
- Access to an R package repository, e.g. CRAN
- Configuration for a user authentication scheme, e.g LDAP or PAM
Support article:
Installation checklist#
Please read the support article:
You can also refer to the Requirements section of the RStudio product documentation.
Installing R#
Tip
You have already installed R in the previous exercise, but it's worth repeating the point. We strongly recommend you install R from pre-compiled binaries to get multiple R versions side-by-side
Why?
- Building Additional Versions from Source
- RStudio recommends keeping multiple versions for a deploy-and-forget mindset (or at least less line-in-the-sand upgrade scenarios)
Your turn#
Next complete the exercise.
Signs of success:
- You have installed RStudio Workbench
- RStudio Workbench is running