Reproducible research with R and RStudio

By: Gandrud, Christopher
Material type: TextTextSeries: Chapman & Hall/CRC: the RPublisher: Boca Raton CRC Press 2020Edition: 3rdDescription: xxi, 276p.: ill. Includes bibliographical references and indexISBN: 9780367143985Subject(s): Research - Statistical methods | R (Computer program language) | Mathematical statistics | Science - Methodology | Technical writing | Research - Data processingDDC classification: 001.42202855133 Summary: Praise for previous editions: "Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, ‘I wish I’d read this book at the start of my studies, when I was first learning R!’…This book could be used as the main text for a class on reproducible research …" (The American Statistician) Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. Supplementary materials and example are available on the author’s website. New to the Third Edition Updated package recommendations, examples, URLs, and removed technologies no longer in regular use. More advanced R Markdown (and less LaTeX) in discussions of markup languages and examples. Stronger focus on reproducible working directory tools. Updated discussion of cloud storage services and persistent reproducible material citation. Added discussion of Jupyter notebooks and reproducible practices in industry. Examples of data manipulation with Tidyverse tibbles (in addition to standard data frames) and pivot_longer() and pivot_wider() functions for pivoting data. Features Incorporates the most important advances that have been developed since the editions were published Describes a complete reproducible research workflow, from data gathering to the presentation of results Shows how to automatically generate tables and figures using R Includes instructions on formatting a presentation document via markup languages Discusses cloud storage and versioning services, particularly Github Explains how to use Unix-like shell programs for working with large research projects https://www.routledge.com/Reproducible-Research-with-R-and-RStudio/Gandrud/p/book/9780367143985
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Slot 4 (0 Floor, West Wing) Non-fiction 001.42202855133 G2R3-2020 (Browse shelf) Checked out 23/04/2021 203104

Table of content

1 Introducing reproducible research
2 Getting started with reproducible research
3 Getting started with R, RStudio, and knitr/R markdown
4 Getting started with file management
5 Storing, collaboration, accessing files, and versioning
6 Gathering data with R
7 Preparing data for analysis
8 Statistical modeling and knitr/R markdown
9 Showing results with tables
10 Showing results with figures
11 Presenting with LaTeX
12 Presenting in a variety of formats with R markdown
13 Conclusion

Praise for previous editions:
"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, ‘I wish I’d read this book at the start of my studies, when I was first learning R!’…This book could be used as the main text for a class on reproducible research …" (The American Statistician)
Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. Supplementary materials and example are available on the author’s website.
New to the Third Edition
Updated package recommendations, examples, URLs, and removed technologies no longer in regular use.
More advanced R Markdown (and less LaTeX) in discussions of markup languages and examples.
Stronger focus on reproducible working directory tools.
Updated discussion of cloud storage services and persistent reproducible material citation.
Added discussion of Jupyter notebooks and reproducible practices in industry.
Examples of data manipulation with Tidyverse tibbles (in addition to standard data frames) and pivot_longer() and pivot_wider() functions for pivoting data.
Features
Incorporates the most important advances that have been developed since the editions were published
Describes a complete reproducible research workflow, from data gathering to the presentation of results
Shows how to automatically generate tables and figures using R
Includes instructions on formatting a presentation document via markup languages
Discusses cloud storage and versioning services, particularly Github
Explains how to use Unix-like shell programs for working with large research projects

https://www.routledge.com/Reproducible-Research-with-R-and-RStudio/Gandrud/p/book/9780367143985

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