Hesburgh Libraries

R is the most widely used programming language for statistical computing and graphics. It is free and open source.

This introduction to R is designed for participants with no programming experience. We’ll begin with the building blocks of using RStudio to develop and explore the data structures available in R. We will then review some basic tools for inspecting, extracting, manipulating, summarizing, and visualizing data. Throughout the workshop, we will also discuss how to use R packages as well as strategies for continued learning and experimentation.

After successfully completing this workshop, you will be able to:

1. Define the following terms as they relate to R: object, assign, call, function, arguments.
2. Load external data from a .csv file into a dataframe, describe what a dataframe is, and summarize content from a dataframe.
3. Understand how the dplyr and tidyr packages can reshape and manipulate datasets.
4. Produce scatter plots, boxplots, and barplots using ggplot.

Related Page: datacarpentry.org/python-socialsci/index.html