An RStudio resource is a resource that provides access to the RStudio IDE for interactive development. It is best used when your primarily programming in R.
To create a RStudio Server resource, click the Create RStudio Server button at the top right of the Resources page. You will be presented with the following form:
In the above form, you’ll supply the following details:
- Name: Identify the resource with a name of your choosing, and if you like, provide a description. If you want to use SSH to access this resource, check that box.
- Disk Space: The default of 10GB is a good place to start, but if you plan to store very big data files, you may want to increase this.
- Hardware: Whether the resource uses only a CPU or also a GPU.
- Size: How powerful the machine will be. This adjusts the CPU and memory, and in the case of GPU hardware the size and number of GPUs.
- Image: An image is a Docker image that describes the libraries and packages you need to run your code. Make sure that if you choose a GPU based machine, you also choose a GPU image. If you don’t know what sort of image you want, or need to set up a custom image, consult our Images documentation. Note that if there is a Dask cluster associated with the resource, it will use the same image.
- Working Directory: This is your working directory at resource startup. Most times, you can leave this as the default.
- Shutoff After: [RStudio server resources do not currently support the auto-shutoff feature]
- Advanced Settings (optional): You can customize the Start Script and/or Environment Variables for the client and the workers your resource might contain. These settings are applied every time the RStudio server starts.
Click Create to have your new resource built. After this, you’ll be taken to the resource page that shows the parameters you’ve requested.