However, creating your first R-package can be a complex task for non-experienced users.
In essence, R-packages are extensions that contain source-code, documentation, data and examples of personal contributions and can be extremely useful for data scientists, statisticians and programmers alike who need to create custom analysis and visualizations. With its open character and ability to extend its functionality using external packages, R allows users to create their own packages that are easily loadable into the core instance.
Many GitHub packages, such as flipPlots, are already installed in Displayr, so we've done the work for you! If you need any additional packages installed, please reach out to to install your R package of choice from GitHub in Displayr? Get started below.R is an open-source implementation of ‘S’, the statistical programming language. In this example, we are installing the flipPlots package created by Displayr.Īlthough RStudio does have various tools for installing packages, the most straightforward approach is to follow the steps described in the previous section, entering the code into the Console in RStudio. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). Step 2: Install the package of interest from GitHub The best way to do this is from CRAN, by typing: To install a R package, start by installing the devtools package. How to install R packages from GitHub? Step 1: Install the devtools package As an example, this post illustrates how to install the flipPlots package to create Sankey diagrams (click here for some example code).
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