Reproducible Research with R and R Studio, Second Edition

Christopher Gandrud

June 11, 2015 by Chapman and Hall/CRC
Reference - 323 Pages - 31 B/W Illustrations
ISBN 9781498715379 - CAT# K25339
Series: Chapman & Hall/CRC The R Series

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Features

  • Incorporates the most important advances that have been developed since the first edition was 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, such as Dropbox and Github
  • Explains how to use Unix-like shell programs for working with large research projects
  • Provides examples and a reproducible research project on the author’s website

Summary

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 syntax
  • Improvements to RStudio’s interface and capabilities, such as its new tools for handling R Markdown documents
  • Expanded knitr R code chunk capabilities
  • The kable function in the knitr package and the texreg package for dynamically creating tables to present your data and statistical results
  • An 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 systems
  • The dplyr, magrittr, and tidyr packages for fast data manipulation
  • Numerous modifications to R syntax in user-created packages
  • Changes 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.