R

Minimalistic GitHub API client in R. Contribute to r-lib/gh development by creating an account on GitHub.

An awesome R-shiny list! Contribute to grabear/awesome-rshiny development by creating an account on GitHub.

CRAN WebTechnologies Task View. Contribute to ropensci/webservices development by creating an account on GitHub.

Easily install and load packages from the tidyverse - tidyverse/tidyverse

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...