R Markdown: The Definitive Guide (Chapman & Hall/CRC The R Series)

Yihui Xie, J.J. Allaire, Garrett Grolemund

  • 出版商: Chapman and Hall/CRC
  • 出版日期: 2018-07-19
  • 售價: $1,285
  • 貴賓價: 9.5$1,221
  • 語言: 英文
  • 頁數: 338
  • 裝訂: Paperback
  • ISBN: 1138359335
  • ISBN-13: 9781138359338
  • 相關分類: R 語言

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R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.


In this book, you will learn









  • Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages
  • Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations
  • Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials
  • Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents.


Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown.


J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix.


Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.