rhandsontable
R
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.
KnitR + LaTeX paper - Tools for Reproducible Research
Gentella Shiny App
DataTables | Gentelella
Best Practices: Shiny Development - shiny - RStudio Community
My workflow is like below: Plan out the type of app. For a lot of applications, sometimes a htmlwidget in Rmd will do, and covers more cases as time goes on and javascript gets cooler. This is preferable as then you can publish to any server, not needing Shiny. But if it needs more server side interaction, I look at using flexdashboard to keep Rmd elements, but have shiny embedded. If its a big app though, its easier to keep track using a ui.R or a HTML template. I have a HTML template ba...
RInno
Function reference • usethis
Purrr
A complete and consistent functional programming toolkit for R.
AdminLTE 2 | Dashboard
ShinyDashboardPlus
extensions for shinydashboard. Contribute to RinteRface/shinydashboardPlus development by creating an account on GitHub.
Shiny Functions
DT
manipulateWidgets
Awesome R - Find Great R Packages
HTML Widgets Gallery
Shiny Dashboard Structure
Programming with dplyr
Most dplyr verbs use "tidy evaluation", a special type of non-standard evaluation. In this vignette, you'll learn the two basic forms, data masking and tidy selection, and how you can program with them using either functions or for loops.
RStudio
RStudio provides free and open source tools for R and enterprise-ready professional software for data science teams to develop and share their work at scale.
Cheatsheets
Open source and enterprise-ready professional software for data science
Packages
Recommended Packages Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line in...
R packages
The caret Package
Documentation for the caret package.
Advanced R
R for Data Science
Upgrade R - Packages
Since the first publication of this post, a couple of packages have emerged to automate this process. The installr package for Windows and the updateR package for OS X are particularly good. However, this continues to be a popular post, so I have decid...
R
ShinyWidgets