This article includes information on RStudio. What purpose does RStudio serve? The notable differences between R and RStudio along with the sequential procedure to develop a project on RStudio are also discussed in this write-up.
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A majority of people have the tendency to organize their notes in a haphazard fashion. Scientific Projects usually start with random note-making processes, moving on to some code development, then a manuscript is made, all of which eventually gets jumbled-up together. There are a lot of obvious reasons to convince you to not go for this type of “data mismanagement”:
Being able to give you a project in an organized layout will make your life a lot easier. It will not only help you ensure the integrity of your data but you will able to share your code with your class-mate or collaborator in an easier way. A well-managed data also enables you to easily upload your code along with presenting the manuscript. What’s more? It becomes simple to get back on the project after a break.
Luckily, in this tech-savvy world, a lot many tools and packages are available to help you manage and organize your data, project reports and work effectively. One of these tools is RStudio. The RStudio IDE is developed by RStudio, Inc. which is a commercial enterprise founded by JJ Allaire who is the creator of the programming language ColdFusion.
“RStudio is an integrated development environment (IDE) for R Language. It comprises of a console, syntax-highlighting editor which assists in executing the code directly, along with tools for plotting, debugging, and data workspace management.” RStudio is available both in commercial and open source editions which is supported by various Operating Systems like Windows, Mac, and Linux. It runs either on the desktop or in a browser connected to RStudio Server or RStudio Server Pro like Debian/Ubuntu, Red Hat/CentOS, and SUSE Linux.
There are amazing features associated with RStudio. These include:
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RStudio has the feature of Windows docking, i.e., all the relevant windows that you want at the moment, are docked together. The source file containing your code is located in the upper left and those commands appear when you run them in the R interpreter which is there on the bottom left. Plots and help files appear in the bottom right. The upper right area shows your graphical workspace. Basically, it is all docked together in a single application window.
Now, in the Graphical Workspace, type 1 s () in the interpreter and you will get the following output: [ 1] “df “. But apart from this, there is a list of objects in your workspace which is there in the upper right panel of the window and by just clicking on a name, voila! it appears on the screen with a graphical view of that object.
In a nutshell, R is a programming language or a software environment used for scientific computing and graphics while RStudio is an IDE for using R and develop R Programming scripts. While R is the language using which you can perform statistical calculations, RStudio gives you the required platform to develop Programmes and run coding on R.
RStudio is definitely the best IDE available because of its user-friendly and open-source structure. It is a part of the Anaconda platform.
You need to follow three basic steps in the same sequence in order to run R and RStudio on your system.
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In order to create a new project in RStudio
If you want to know more about developing a project on R Studio, you can check our course on Data Analytics using R.
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