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How to write a well-structured and understandable R program

Illustrating with a Principal Component Analysis

Comprehensive set of tools for scaffolding R interfaces to modules, classes, functions, and documentations written in other programming languages, such as Python.

Yet another post with a focus on package documentation! This time, we’ll cover vignettes a.k.a “long-form package documentation”, both basics around vignette building and infrastructure, and some tips for more maintainer- and user- friendliness. What is a vignette? Where does it live? In this section we shall go over basics of package vignettes. Vignette 101 In the “R packages” book by Hadley Wickham and Jenny Bryan, the vignettes chapter starts with “A vignette is a long-form guide to your package.

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.

This work is intended to foster best practices in reproducible data documentation and manipulation, statistical analysis, graphics, and reporting.

This is a post I’ve been meaning to write for some time now about {capsule}. {capsule} provides alternative workflows to {renv} for establishing and working with controlled package libraries in R. It also uses an renv.lock so it is compatible with {renv} - you can switch between doing things the {capsule} way and the {renv} or vice versa at any time. Introducing an R package I wrote nearly three years ago Carefully curating a controlled package environment the {renv} way can be kind of a chore.

I modified two Hugo themes to be able to share R code using blogdown. hugo-future-imperfect and hugo-statnmap-theme are multilingual themes allowing for code folding, syntax highlighting, list of related articles, citation card, SEO graph or contact form. All options listed below are detailed in the Readme page of themes on Github. There are also listed with their configuration parameters in the config file of the “exampleSite” directory in the repository.

Code folding is an interesting feature in Rmarkdown documents. Find out how to realise it in bookdown documents and blogdown websites. Code folding in bookdown and blogdown Option code_folding: true, like in classical rmarkdown documents, is not working in bookdown or blogdown but it is possible to enable it with some tricks. All files presented here, the javascript and Rmd files necessary for bookdown and the html files necessary for blogdown, to enable code folding are available on my github blog tips repository.

You can install the tinytex package from either CRAN or Github: # CRAN version install.packages('tinytex') # or the development version on Github remotes::install_github('yihui/tinytex') The package …

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.

A framework to create bootstrap styled HTML reports from knitr Rmarkdown. - jimhester/knitrBootstrap

HTML output formats for RMarkdown documents. Contribute to juba/rmdformats development by creating an account on GitHub.

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.

How to add an animated GitHub corner to an R Markdown page.

Build And Highlight Package Documentation With Customized Templates - ThinkR-open/chameleon

Tools to deal with dependencies in scripts, Rmd and packages - ThinkR-open/attachment

R Markdown lets you add dynamic parameters to your report using the params YAML field (see the R Markdown book for examples); parameterized reports are also used in RStudio Connect. The values of these variables can be called inside your R Markdown document using params$field_name. There are several ways to change the values of the parameters: manually change the YAML, use the params argument in rmarkdown::render(), or knit with parameters, which launches a Shiny app to select values for each. yml_params() accepts any number of named R objects to set as YAML fields. You can also pass argume...

Authoring Books and Technical Documents with R Markdown - rstudio/bookdown

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

I’ve been asked more and more for hints and best practices when working with R. It can be a daunting task, depending on how deep or specialised you want to be. So I tried to keep it as balanced as I could and mentioned point that definitely helped me in...

In 2019, RStudio spent over 50% of its engineering resources on open-source software, and led contributions to over 250 open-source projects, targeting a broad range of areas.

This is a workshop for RStudio::conf(2020) in San Francisco, California