In these notes, I will walk you through the basics of writing your own R package. If you have been using R for even a short length of time, you have probably needed to install and use the functions published in an R package. R Packages can serve any number of uses, and range from well documented and widely used statistical libraries to packages of functions that tell knock-knock jokes. Packages are bundles of code and data that can be written by anyone in the R community. After going through this tutorial, you will be able to write a basic R package, which can be installed from Github. Our Coding Club would like to extend our deepest gratitude to them, for allowing us to publish this tutorial on our website as well.

This tutorial was originally created by the University of Stirling’s Coding Club, and can be found at this link.

Uploading to and installing from GitHub.

qplot(mtcars$wt, mtcars$hp), to build a plot of two variables of the mtcars data frame.

search(), to look at the currently attached packages and.

The data has already been prepared for you in the workspace.īefore starting, execute the following commands in the console:

You'll use it to create a plot of two variables of the mtcars data frame. In this exercise, you'll be learning how to load the ggplot2 package, a powerful package for data visualization.

However, almost all CRAN packages are installed on our servers. This means that install.packages() will thus not work in the DataCamp interface. To install packages, you need administrator privileges. attaches them to the search list on your R workspace. install.packages(), which as you can expect, installs a given package.There are basically two extremely important functions when it comes down to R packages:

Create r package rstudio