If you choose to use any external resources, you need to Connect to your virtual network in Azure Lab Services with your lab plan.Īdvanced networking must be enabled during the creation of your lab plan. For instructions to create an RStudio Server, see Download RStudio Server for Debian & Ubuntu and Accessing RStudio Server Open-Source. For more information on how to set up a shared server, see how to create a lab with a shared resource in Azure Lab Services. If you choose to have a shared R Server for the students, the server should be set up before the lab is created. See use external file storage in Azure Lab Services for options and setup instructions. Some classes require files, such as large data files, to be stored externally. If you don't have an Azure subscription, create a free account before you begin. To set up this lab, you need an Azure subscription and lab plan to get started.
Each article describes how to use the Data Science Virtual Machine for Linux (Ubuntu) marketplace image, which has many data science related tools, including RStudio, preinstalled. The deep learning and Python and Jupyter NotebooksĬlass types setup RStudio differently. This article focuses on solely RStudio and R as a building block for a class that requires the use of statistical computing. The free version provides code editing tools, an integrated debugging experience, and package development tools. RStudio is an interactive development environment (IDE) available for the R language. R provides an interactive command line experience. It's used in the statistical analysis of genetics to natural language processing to analyzing financial data. R is an open-source language used for statistical computing and graphics. For more information, see What's New in the August 2022 Update. This article references features available since the August 2022 Update, when lab plans replaced lab accounts.
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