Deep R Programming is a comprehensive course on one of the most popular languages in data science (statistical computing, graphics, machine learning, data wrangling and analytics). It introduces the base language in-depth and is aimed at ambitious students, practitioners, and researchers who would like to become independent users of this powerful environment. This early draft is distributed in the hope that it will be useful. This textbook is a non-profit project. Its online and PDF versions are freely available at https://deepr.gagolewski.com/. Dr habil. Marek Gagolewski is currently a Senior Lecturer in Applied AI/Data Science at Deakin University in Melbourne, Australia and an Associate Professor (on leave) at the Systems Research Institute, Polish Academy of Sciences. His research interests are related to data science, in particular: modelling complex phenomena, developing usable, general purpose algorithms, studying their analytical properties, and finding out how people use, misuse, understand, and misunderstand methods of data analysis in research, commercial, and decision making settings. In his spare time, he writes books for his students, and develops free (libre) data analysis software, such as stringi (one of the most often downloaded R packages) and genieclust (a fast and robust clustering algorithm in both Python and R).

Please cite this book as: Gagolewski M. (2023), Deep R Programming, Zenodo, Melbourne, DOI: 10.5281/zenodo.7490464, ISBN: 978-0-6455719-2-9, URL: https://deepr.gagolewski.com/