In this post I will show how to create an Rstudio project and manage it. My main reason for working in such projects is that I am able to manage all my code and content from one single folder on the computer. I also use
here package to manage links in the code.
For this tutorial you will need RStudio installed on your computer. The operating system doesn’t matter. I am using my MacBook Pro to record the videos.
Step 1: Install
Just run the following code in your Rstudio console:
Step 2: Create a project
Once you have successfully installed
here, watch the following video to create your first RStudio project. Folder and files management is extremely important for professional analytics work. Therefore, think a little bit about the right place to create the project before you create your folder and save files. For this demo I am creating my project on the Desktop.
At the end of the video, I used
here::here() to show me the path to the project directory. The path is
Step 3: Create subdirectories
This is not necessarily a required step but I prefer to create subdirectories depending on the type of content. For example, I create a subdirectory called
Data to store all the data files. If my project uses images, I also create a subdirectory called
Images. You can access all these using
here package as follows. This is demo code and isn’t actually executed.
# The data file saved in a filder called `Data` inside the project folder # The data file has extention .RDS myData <- readRDS(here::here('Data', 'myDemoData.RDS'))
In the above code, I am accessing
here package already knows the path to the project folder. It simply appends each argument inside the
here() function to the full path. Thus, the path to the dataset will be