Reproducible Research with R and RStudio (3rd Edition) by Christopher Gandrud
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(B), The Observatory, University of St Andrews, Fife KY16 9LZ, UK (E-mail: [email protected]). © 2020 International Biometric Society Journal of Agricultural, Biological, and Environmental Statistics https://doi.org/10.1007/s13253-020-00418-y
R. Glennie
reproducibility. Its greatest strength is that readers can have one well-structured resource to which they can refer, containing the steps to setup complex software tools, as well as moderately comprehensive lists of their most common features/commands. Adjacent to these, it contains tips and guidance on how to use these tools when, at present, many users must rely on sporadic online help. Thus, as a reference book for a wide readership to peruse, it is a good resource. It does, however, have one large omission that readers may expect to be covered: modularity, that is, creating R functions or packages from existing algorithms to make methods easier to use and reproduce. This would be an extremely welcome addition in future, as modular programming is an important step toward robust and reproducible coding. This work is best used as a reference text. Nevertheless, the author does state the book is intended to be read as a linear narrative and to be a self-sufficient resource for the novice, and it is with respect to these aims the work falls short. The wide range of topics covered and the concise treatment, both advantages of a reference text, mean there is little narrative to motivate use of these tools or provide examples of their use. Furthermore, some topics (e.g. git or Makefiles) are treated too briefly for a novice user to be able, with this text alone, to come to grips with the software. Overall, this book is useful to both novice and advanced R users in data science who seek a single reference work for the software tools used in reproducible research. Yet, users new to these tools will likely find the need to seek out additional resources on each specific tool to be able to understand its use. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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