RMARKDOWN REFERENCE HOW TO
RMARKDOWN REFERENCE SOFTWARE
RMARKDOWN REFERENCE CODE

The other topics focus on larger scale documents such as complex websites, books, and academic journal articles. The first topics covered in chapters 6-13 include handout and presentation formats that could be used effectively for teaching or presenting statistical results.

RMARKDOWN REFERENCE SOFTWARE

'A main strength of the software described herein is that it facilitates reproducible documents incorporating analyses and figures.

RMARKDOWN REFERENCE HOW TO

All the authors have been key contributors to developing the core R Markdown packages and are knowledgable about the inner workings of these functions and all the available options to customize published documents…The target audience for this manuscript would be experienced R users who frequently use R Markdown to generate publications for a variety of mediums (articles, books, information dashboards, interactive web applications, etc.)…While this book is strongly related to the author’s previous book (Dynamic Documents with R and knitr), a wider range of readers should find this new manuscript useful for its focus on the broad range of output formats generated by R Markdown and how to customize those outputs.' ~Benjamin Soltoff, Department of Computational Social Science, University of Chicago These packages form an important ecosystem for reproducible research using R and are widely used across academia and the private sector. 'The manuscript offers a detailed documentation of the R Markdown document format and its related packages for R (e.g. 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.ġ9.7 Output arguments for render functions

Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Allaire is the founder of RStudio and the creator of the RStudio IDE. 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. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. Yihui Xie is a software engineer at RStudio.

Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents.

Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials.

Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations.

RMARKDOWN REFERENCE CODE

Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages.

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.

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.

Rmarkdown reference