You install R from the Comprehensive R Archive Network (CRAN) repository. There are a few ways to install R on the VM. sudo systemctl restart x2goserverĪlternatively, you can build the required libraries by following instructions at GLX workaround for X2Go.
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Restart the X2Go server so the new options are used. Comment the line that states: X2GO_NXAGENT_DEFAULT_OPTIONS+=" -extension GLX".Uncomment the line that states: X2GO_NXAGENT_DEFAULT_OPTIONS+=" -extension GLX".To work around this issue, update the x2goagent options file.Įdit /etc/x2go/x2goagent.options file. The default installation of X2Go isn't compatible with RStudio. Once that is completed, the rest of the setup can be completed after connecting using the X2Go client. You first need to Connect to a Linux lab VM using SSH to install the server component. If you choose to use X2Go, install the server. Template configurationĪfter the template machine is created, start the machine, and connect to it to install R, RStudio Desktop and optionally X2Go Server.įirst, let’s update apt and upgrade existing packages on the machine. For more information, see Enable graphical remote desktop for Linux VMs. Then, students can connect to the Linux VM using RDP later. If you choose to instead use RDP, you need to connect to the Linux VM using SSH and install the RDP and GUI packages before publishing the lab. This setting isn't needed if you choose X2Go to connect to lab machines. This setting should be enabled if you choose to use RDP. Use the following settings when creating the lab. Lab plan settingįor instructions on how to create a lab, see Tutorial: Set up a lab. For more information about how to enable Azure Marketplace images, see Specify the Azure Marketplace images available to lab creators. You can also use an existing lab plan.Įnable your lab plan settings as described in the following table. For more information about creating a new lab plan, see the tutorial on how to set up a lab plan. Once you get have Azure subscription, you can create a new lab plan in Azure Lab Services.
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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.
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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. This article references features available in lab plans, which replaced lab accounts.