R

Fast reading of delimited files. Contribute to r-lib/vroom development by creating an account on GitHub.

Advice on workflows for developing R scripts. How to think about whether an action belongs in the script or elsewhere.

The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.

Structuring R projects is not fun. However, especially in a collaborative data science setting, it is indispensable, and the mark of a true team player.

RStudio's webinars offer helpful perspective and advice to data scientists, data science leaders, DevOps engineers and IT Admins. Presenters come from companies around the globe, as well as the RStudio staff.

Discover and install useful RStudio addins . Contribute to daattali/addinslist development by creating an account on GitHub.

Showcase of Shiny App for client database and after-sales calls exploration - ThinkR-open/clientapp

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Always wanted to write an R package for your team? This article gives tips for what to include in your team's R package. Get started today!

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny - nanxstats/awesome-shiny-extensions

Recording of RStudio webinar with Winston Chang & Curtis Kephart

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

Links to resources on reproducible research and related tools.

DiagrammeR, an R package that allows you to create flowcharts, diagrams, and grhs with Markdown-like text.

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency.

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

The new bookmarking functionality is great. I'm attempting to use it with rhandsontable and running into a slight issue when attempting to restore the table data. The widget is currently bu...

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.

A Framework for Building Robust Shiny Apps . Contribute to ThinkR-open/golem development by creating an account on GitHub.

Data model diagrams in R. Contribute to bergant/datamodelr development by creating an account on GitHub.

My search for the ultimate user-friendly data filtering system in R Shiny brought me to the dark arts of quosures.

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, GitHub, licenses, Rcpp, RStudio projects, and more.