Reproducible Research with R and R Studio - Chapman & Hall/CRC: The R Series (Paperback)Christopher Gandrud (author)
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All the Tools for Gathering and Analyzing Data and Presenting Results
Reproducible Research with R and RStudio, Second 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.
New to the Second Edition
The rmarkdown package that allows you to create reproducible research documents in PDF, HTML, and Microsoft Word formats using the simple and intuitive Markdown syntaxImprovements to RStudio's interface and capabilities, such as its new tools for handling R Markdown documentsExpanded knitr R code chunk capabilitiesThe kable function in the knitr package and the texreg package for dynamically creating tables to present your data and statistical resultsAn improved discussion of file organization, enabling you to take full advantage of relative file paths so that your documents are more easily reproducible across computers and systemsThe dplyr, magrittr, and tidyr packages for fast data manipulationNumerous modifications to R syntax in user-created packagesChanges to GitHub's and Dropbox's interfaces
Create Dynamic and Highly Reproducible Research
This updated book provides all the tools to combine your research with the presentation of your findings. It saves you time searching for information so that you can spend more time actually addressing your research questions. Supplementary files used for the examples and a reproducible research project are available on the author's website.
Publisher: Taylor & Francis Inc
Number of pages: 323
Weight: 454 g
Dimensions: 235 x 156 mm
Edition: 2nd New edition
"The first edition of Reproducible Research with R and RStudio was an invaluable companion in the early stages of my journey, and I trust that the second edition will be equally useful to aspiring data analysts."
-MAA Reviews, July 2015
Praise for the First Edition:
"... a very practical book that teaches good practice in organizing reproducible data analysis and comes with a series of examples. ... an extremely valuable overview of the current capabilities of R, RStudio, and related software tools for reproducible research. I recommend this book to anyone who wants to learn more about these fascinating tools."
-Biometrical Journal, 2014
"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. ... the readers who will get the most use from this book are those already working in R and just need a way to organize their work. That being said, 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!' ... a good text for beginning graduate students or advanced undergraduate students who are just starting to do technical research. ... This book could be used as the main text for a class on reproducible research ..."
-The American Statistician, November 2014
"Three recent books have significantly influenced how I use R in reproducible work: Dynamic Documents with R and knitr by Yihui Xie, Reproducible Research with R and RStudio by Christopher Gandrud, and Implementing Reproducible Research edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng ... I recommend all three books to R users at any level. There really is something here for everyone."
-Richard Layton, PhD, PE, Rose-Hulman Institute of Technology, Terre Haute, Indiana, USA