Using the sample repository for this option would mean that we need to fill in the following link as repository URL. (If you’ve downloaded the sample repository mentioned above, this option does not hold as it only downloads the files)Īlternatively, if we were to choose to create a new R project based on a GitHub repository, you would need to select Version Control, followed by Git and then copy the link of the GitHub repository from the green Clone or Download button and add it as the repository URL, and finally create the project. Select Existing Directory, browse to the location of the project folder and create the project. Given the situation that there is a folder on our computer, created during this tutorial and initialized with Git, we will go for the first option.

Version Control: Ideally for creating a new R project based on a repository in GitHub.

Existing Directory: The preferred choice when a project folder already exists and which has previously been initialized with Git.

There are two options relevant for us to create a project in RStudio initialized with GitHub: Let’s start by making a new project (File > New project…).

Starting a project 2.1 Integrating a version controlled project in Rstudio (scenario 1 & 2)

Download the repository as a ZIP-file and extract it. A sample repository is also downloadable here. We will exploit the repository that we created in the previous chapters of this tutorial. Exploiting Git’s features in Rstudio is further exploited in section 3: Exploring Git’s integration in Rstudio. You have an Rstudio project that you now want to start version controllingĬreating a version controlled project in Rstudio from each of these scenarios is discussed in section 2: Starting a project.You have a version controlled project on GitHub which you want to integrate in Rstudio locally.You have a version controlled project on your computer which you want to integrate in Rstudio.Uptil now we have focused on the core principles of Git & GitHub, which gives us enough knowledge to start integrating in other platforms. If you’re unfamiliar with R and Rstudio, some materials on this website that will get you started are accesible via this link. Rstudio is a popular platform for downstream data-analysis, statistics, machine learning and more scientific related analysis using the R language.

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