R

No Clocks
Some Ideas for your Internal R Package · R Views
At RStudio, I have the pleasure of interacting with data science teams around the world. Many of these teams are led by R users stepping into the role of analytic admins. These users are responsible for supporting and growing the R user base in their organization and often lead internal R user groups. One of the most successful strategies to support a corporate R user group is the creation of an internal R package.
Structuring R projects: Chris von Csefalvay's perspective on the ideal R project
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.
Tidyverse
The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.
Project-oriented workflow - Tidyverse
Advice on workflows for developing R scripts. How to think about whether an action belongs in the script or elsewhere.
rhandsontable
R Tips
The stuff you need to know about R, besides statistical analysis.
executive_summary/2018–19 Template for AACSB’s.pdf at master · jdbarillas/executive_summary
Contribute to jdbarillas/executive_summary development by creating an account on GitHub.
Utilizing quosures to create ultra flexible filtering controls in R Shiny
My search for the ultimate user-friendly data filtering system in R Shiny brought me to the dark arts of quosures.
ThinkR-open/golem: A Framework for Building Robust Shiny Apps
A Framework for Building Robust Shiny Apps . Contribute to ThinkR-open/golem development by creating an account on GitHub.
Modifying data with lookup tables - Nice R Code
DiagrammeR
DiagrammeR, an R package that allows you to create flowcharts, diagrams, and grhs with Markdown-like text.
Resources
Links to resources on reproducible research and related tools.
Manage functionality as a package
Production
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.
googleCloudStorageR • googleCloudStorageR
Tables with labels in R
It's crantastic!
Function reference • tidytemplate
sigmajs/_pkgdown.yml at master · JohnCoene/sigmajs
Σ sigma.js for R. Contribute to JohnCoene/sigmajs development by creating an account on GitHub.
Interface to 'Sigma.js' Graph Visualization Library • sigmajs
Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.
jennybc/repurrrsive: Recursive lists to use in teaching and examples, because there is no iris data for lists.
Recursive lists to use in teaching and examples, because there is no iris data for lists. - jennybc/repurrrsive
trinker/qdapRegex: qdapRegex is a collection of regular expression tools associated with the qdap package that may be useful outside of the context of discourse analysis.
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
HenrikBengtsson/startup: R package: startup - Friendly R Startup Configuration
:wrench: R package: startup - Friendly R Startup Configuration - HenrikBengtsson/startup
r-lib/evaluate: A version of eval for R that returns more information about what happened
A version of eval for R that returns more information about what happened - r-lib/evaluate
r-lib/desc: Manipulate DESCRIPTION files
Manipulate DESCRIPTION files. Contribute to r-lib/desc development by creating an account on GitHub.
tidyverse/googlesheets4: Google Spreadsheets R API (reboot of the googlesheets package)
Google Spreadsheets R API (reboot of the googlesheets package) - tidyverse/googlesheets4
quanteda/readtext: an R package for reading text files
an R package for reading text files. Contribute to quanteda/readtext development by creating an account on GitHub.
ropensci/DataPackageR: An R package to enable reproducible data processing, packaging and sharing.
An R package to enable reproducible data processing, packaging and sharing. - ropensci/DataPackageR
Ironholds/urltools: Elegant URL handling in R
Elegant URL handling in R. Contribute to Ironholds/urltools development by creating an account on GitHub.