If you want even more practice, another great tutorial is the official Shiny tutorial. Visit the Shiny website for more information. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. With minimal syntax it is possible to include widgets like the ones shown on the left in your apps. Shiny is an R package that makes it easy to build interactive web apps straight from R. Library(shiny) library(htmlwidgets) library(dplyr) library(basictabler) ui % group_by_(input $groupBy) %>% summarise( OnTimeArrivals= sum(OnTimeArrivals), OnTimeDepartures= sum(OnTimeDepartures), TotalTrains= sum(TrainCount)) %>% ungroup() %>% mutate( OnTimeArrivalPercent=OnTimeArrivals /TotalTrains * 100, OnTimeDeparturePercent=OnTimeDepartures /TotalTrains * 100) %>% arrange_(input $groupBy) # formatting values (explained in the introduction vignette) columnFormats = list( NULL, list( big.mark= ','), list( big.mark= ','), list( big.mark= ','), '%.1f', '%. This tutorial should take approximately an hour to complete. Downloading Shiny and tutorial resources To get Shiny in RStudio, the first thing you need is the shiny package, by running the code below in RStudio: install.packages('shiny') install.packages('rsconnect') For publishing apps online install. Shiny comes with a variety of built in input widgets.

Rstudio shiny tutorial