R is a statistical package used by many digital textual analysts to explore aspects of styelometry. Here at IU, we have an instance of the popular Rstudio running on Karst to facilitate work on large corpora. However, it is often helpful to begin work with a small test set (sometimes even a single text) and scale up. The CyberDH group has put together code packages and annotated RNotebooks that are available on GitHub to serve as a friendly introduction to how the process of scaling up might work. This talk will step through the basics of these exercises and the visualizations that result.
Presented by Tassie Gniady