This tutorial covers automated text summarisation in R using extractive methods, including sentence scoring approaches, the TextRank algorithm, the creation of automatic summaries from single documents and document collections, and methods for evaluating summary quality. It is aimed at researchers in digital humanities and computational linguistics who need to condense large volumes of text automatically. This tutorial is part of the Language Technology and Data Analysis Laboratory (LADAL), a free, open-access research infrastructure at the University of Queensland. LADAL provides tutorials, tools, and courses for researchers working with language data. All materials are freely available at https://ladal.edu.au and are part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS.