Using Git and GitHub with R, Rstudio, and R Markdown

Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdown. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. R Markdown supports a reproducible workflow for dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.

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.

The printr (read “printer” or “print R”) package is a companion package to knitr. Its main purpose is to extend the S3 generic function knit_print() in knitr, which is the …

Data documentation in psychology lags behind not only many other disciplines, but also basic standards of usefulness. Psychological scientists often prefer to i...

Access and manipulate Microsoft Word and Microsoft PowerPoint documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.

Learn how to get started with the basics of pkgdown.

Rmarkdown for Scientists. Contribute to njtierney/rmd4sci development by creating an account on GitHub.

Improving the track changes and reviewing experience in R markdown - ropenscilabs/reviewer

Lightweight infrastructure to handle multiple rmarkdown reports - reconhub/reportfactory

Automated checking of best practices for research compendia ✔️ - ropenscilabs/checkers

R package containing a collection of Rmarkdown templates - Pakillo/rmdTemplates

🔑 Password protected markdown html reports in R using libsodium - dirkschumacher/encryptedRmd

R package :package: for labelling chunks of RMarkdown files! :boom: - lockedata/namer

A workflow for refactoring one-time analyses to sustainable data products

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.

Best practices for staying organized to promote reproducibility

An RStudio addin providing shortcuts for writing in Markdown. This package provides a series of functions that allow the user to be more efficient when using Markdown. For example, you can select a word, and put it in bold or in italics, or change the alignment of elements inside you Rmd. The idea is to map all the functionalities from remedy on keyboard shortcuts, so that it provides an interface close to what you can find in any other text editor.