Reproducible Research with R and RStudio

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This book equips readers with essential skills and tools for conducting and presenting computational research. It outlines a complete reproducible research workflow through straightforward examples, enabling data gathering, analysis, and dynamic presentation of results in print and online. The second edition introduces the rmarkdown package for creating reproducible documents in PDF, HTML, and Microsoft Word formats using intuitive Markdown syntax. It features enhancements to RStudio's interface and capabilities, including new tools for managing R Markdown documents and expanded knitr R code chunk functionalities. Additionally, the kable function in the knitr package and the texreg package facilitate the dynamic creation of tables for data and statistical results. The book also offers improved guidance on file organization, emphasizing the use of relative file paths for better reproducibility across different systems. It covers the dplyr, magrittr, and tidyr packages for efficient data manipulation, along with updates on R syntax in user-created packages and changes to GitHub's and Dropbox's interfaces. This comprehensive resource saves time searching for information, allowing you to focus on addressing your research questions. Supplementary files and a reproducible research project are available on the author's website.