R

RStudio addin for formatting Rmarkdown tables. Contribute to mwip/beautifyR development by creating an account on GitHub.

Short tour of parallel and foreach packages, and how to think about scaling data analyses - ljdursi/beyond-single-core-R

:rocket: Implementation of core data structures for R. - dirmeier/datastructures

Cook rmarkdown codebooks from metadata on R data frames - rubenarslan/codebook

Elegant URL handling in R. Contribute to Ironholds/urltools development by creating an account on GitHub.

An R package to enable reproducible data processing, packaging and sharing. - ropensci/DataPackageR

:chart_with_upwards_trend: Financial statements in R - bergant/finstr

an R package for reading text files. Contribute to quanteda/readtext development by creating an account on GitHub.

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

Google Spreadsheets R API (reboot of the googlesheets package) - tidyverse/googlesheets4

Manipulate DESCRIPTION files. Contribute to r-lib/desc development by creating an account on GitHub.

A version of eval for R that returns more information about what happened - r-lib/evaluate

:wrench: R package: startup - Friendly R Startup Configuration - HenrikBengtsson/startup

qdapRegex is a collection of regular expression tools associated with the qdap package that may be useful outside of the context of discourse analysis. - trinker/qdapRegex

Recursive lists to use in teaching and examples, because there is no iris data for lists. - jennybc/repurrrsive

:scissors: Extract Tables from Microsoft Word Documents with R - hrbrmstr/docxtractr

Some (magical) printing methods for knitr. Contribute to yihui/printr development by creating an account on GitHub.

R package for exploratory data analysis. Contribute to ujjwalkarn/xda development by creating an account on GitHub.

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.