Dynamic Documents with R and knitr

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to statistical graphics, computing, and data analysis. The book covers basic applications for beginners while guiding power users in understanding the extensibility of the knitr package. New to the Second Edition A new chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. The book takes you from program output to publication-quality reports, helping you fine-tune every aspect of your report.

Introduction Reproducible Research Literature Good and Bad Practices Barriers A First Look Setup Minimal Examples Quick Reporting Extracting R Code Editors RStudio LYX Emacs/ESS Other Editors Document Formats Input Syntax Document Formats Output Renderers R Scripts Text OutputInline Output Chunk Output Tables Automatic Printing Themes Graphics Graphical Devices Plot Recording Plot Rearrangement Plot Size in Output Extra Output Options The tikz Device Figure Environment Figure Path Cache Implementation Write Cache When to Update Cache Side Effects Chunk Dependencies Load Cache Manually Other Options Cross ReferenceChunk Reference Code Externalization Child Documents Hooks Chunk HooksExamples Language EnginesDesign Languages and Tools Persistent Sessions Tricks and Solutions Chunk OptionsPackage Options Typesetting Utilities Debugging Multilingual Support Publishing Reports RStudio Pandoc HTML5 Slides Jekyll WordPress R Markdown OverviewPandoc’s Markdown Extensions Output Formats Interactive Documents with Shiny Extending R Markdown v2 Changes in R Markdown from v1 to v2 Applications Homework Serve Dynamic Documents Web Site and BloggingPackage Vignettes Books Literate Programming for R Packages Other Tools Sweave Other R Packages Python Packages More Tools Appendix: Internals Bibliography Index

Yihui Xie is currently a software engineer at RStudio. He got his PhD from the Department of Statistics, Iowa State University. He is interested in interactive statistical graphics, statistical computing, and web applications. He is an active R user and the author of several R packages, such as animation, formatR, Rd2roxygen, and knitr, among which the animation package won the 2009 John M. Chambers Statistical Software Award (ASA). He is also the author of the book "Dynamic Documents with R and knitr". In 2006 he founded the "Capital of Statistics", which has grown into a large online community on statistics in China. He initiated the first Chinese R conference in 2008 and has been organizing R conferences in China since then. During his PhD training at the Iowa State University, he won the Vince Sposito.