Now, we will introduce the R programming language. You can also follow the links and download a copy of R to follow along and complete the examples. R is a powerful and versatile programming language primarily used for statistical computing, data analysis, and graphical visualization. It is widely used in the creation of models in BI applications. R includes a comprehensive set of tools and libraries for handling, manipulating, and analyzing data sets of various sizes and complexities. It also has extensive packages covering areas such as machine learning, time series analysis, and data visualization. These features, combined with a relatively easy-to-use interface that allows non-programmers to rapidly get up to speed, make R a popular choice for developing models in BI systems.
The R Studio Cloud Interface
This chapter is really your first steps into R Studio.
Learning Objectives
In this chapter, we will explore:
- the top menu bar;
- the console panel;
- the source or document panel;
- the files + panel;
- the environment panel.
The top menu bar
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. 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. 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.
The console panel
The console panel is where our code shows up once we run it. The console is where our code output is rendered.
The source panel
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. In the video, I show you different way of opening that panel and loading a basic script. It is called the source panel because this is where code is sourced from. The output of the source code shows up in the console panel.
The files+ panel
I am calling it files+ because it is not just a files menu. It also includes additional tabs such as plots, packages, help, viewer, and presentation. The video explores the main tabs we will use with their specific options.
The environment panel
The environment panel is where the datasets and objects we create or load are stored and available for viewing.
Keep in mind that this is just an overview. 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.
For now, please watch the video below:
And if you are taking Sociology 1205 or 2200, please complete the quiz below.