Published June 28, 2023 | Version v1.0.0-book
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Deep R Programming

Description

Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning.

This textbook is a non-profit project. Its online and PDF versions are freely available at https://deepr.gagolewski.com/.

To order a paper copy, see https://deepr.gagolewski.com/order-paper-copy.html.

Marek Gagolewski is an Associate Professor in Data Science at Warsaw University of Technology. 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).

See also: Minimalist Data Wrangling with Python at https://datawranglingpy.gagolewski.com/.

Notes

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/

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Is published in
Book: https://deepr.gagolewski.com (URL)
Book: 978-0-6455719-2-9 (ISBN)
Is supplement to
Software: https://github.com/gagolews/deepr/tree/v1.0.0 (URL)