It’s a good idea here to keep track of anything else that you install like that, so you can do it again at a later point should the need arise. Such situations are not common however and should be dealt with on a case-by-case basis. For example the R library ‘rgdal’ will fail to install unless the ‘gdal’ tools are installed on the server. You may run into issues during the life of the server, where a user attempts to install an R package, only to have it fail with an error about a missing library. This doesn’t cover everything you might need, but it covers the most common dependencies.
yum install -y libcurl-devel openssl-devel libxml2-devel This might seem odd, but some R packages can rely on OS level packages, such a C libraries and so on, and if they’re not available, the R package will fail to install. Next we’re going to want to install some common dependencies of R packages that may get installed later. This probably installs more than we strictly need, but it works just fine. I take a shortcut here and just install the pre-configured group called ‘Development Tools’. These are needed because on Linux, packages are generally installed from source, and if they contain any compiled code, will need to ensure that we have the compilers and build tools available. The first of these dependencies are a bunch of development tools. We will learn additional features as we move forward with the tutorial series.Before we begin, it’s a good idea to install some general purpose tools that will help us out once R is installed. This is enough to get you started with RStudio for now. The help panel – This panel displays searchable help topics about your selected packages and public datasets.The packages panel – As the name indicates, it gives a list of active packages in your environment.The plots panel – This lies beside the files panel and displays your graphs when you execute the corresponding command.You can monitor the needed datasets from this panel. This shows all the files in the current directory. The files panel – This can be seen at the bottom right region of the window.It makes your job easy when you want to rerun commands. The history panel – This panel, located right next to the environment panel, shows the history of all the commands run till now.This is where you can monitor all the active variables in the present environment. The environment panel – This is located on the top-right of the RStudio window.The results get displayed on the console. The scripts can be run using the Run button on top of the script editor panel.The script editor is usually invisible when you first run RStudio and can be activated by selecting File – > New File -> R Script from the top menu. This is where the script editor helps us. Rather than clumsily entering the commands one by one in the command console, we prefer to store and load them as a script. The script editor – Most of our R programs will be a collection of commands rather than a single command.Try giving a small arithmetic command in the console like 5 + 5 and then press Enter to see the result displayed on the command-line itself. The command console – This is where you type and execute your commands.Each of them has different functionality. As you play around, you will see that the RStudio window has the following components.
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