When setting up R and RStudio Server on a cloud Linux instance, some thought should be given to implementing a workflow that facilitates collaboration and ensures R project reproducibility. I will have more specific videos in the upcoming chapters on some key aspects of the interface we will use, such as installing and opening packages, uploading or opening datasets, or exporting plots.įor now, please watch the video below or use this link:Īnd if you are taking Sociology 1205 or 2200, please complete the quiz below.Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. Keep in mind that this is just an overview. The environment panel is where the datasets and objects we create or load are stored and available for viewing. The video explores the main tabs we will use with their specific options. It also includes additional tabs such as plots, packages, help, viewer, and presentation. I am calling it files+ because it is not just a files menu. The output of the source code shows up in the console panel. It is called the source panel because this is where code is sourced from. In the video, I show you different way of opening that panel and loading a basic script. The source panel is a panel that is closed by default but opens when you open a script file where code has been stored and saved. The console is where our code output is rendered.
The console panel is where our code shows up once we run it. For instance, if you need a larger font or greater contrast to accommodate your vision, I will show you how to do that in the video. In the video, we will focus on one nice way to customize your interface in a way that best fits you by choosing a theme, that is, a way to change the way your R Studio Cloud environment looks. This set of menus looks a lot like what you might find in pretty much any software you use, be it Microsoft Word or Google Docs.
0 kommentar(er)
