Book Image

Web Application Development with R Using Shiny - Third Edition

By : Chris Beeley, Shitalkumar R. Sukhdeve
Book Image

Web Application Development with R Using Shiny - Third Edition

By: Chris Beeley, Shitalkumar R. Sukhdeve

Overview of this book

Web Application Development with R Using Shiny helps you become familiar with the complete R Shiny package. The book starts with a quick overview of R and its fundamentals, followed by an exploration of the fundamentals of Shiny and some of the things that it can help you do. You’ll learn about the wide range of widgets and functions within Shiny and how they fit together to make an attractive and easy to use application. Once you have understood the basics, you'll move on to studying more advanced UI features, including how to style apps in detail using the Bootstrap framework or and Shiny's inbuilt layout functions. You'll learn about enhancing Shiny with JavaScript, ranging from adding simple interactivity with JavaScript right through to using JavaScript to enhance the reactivity between your app and the UI. You'll learn more advanced Shiny features of Shiny, such as uploading and downloading data and reports, as well as how to interact with tables and link reactive outputs. Lastly, you'll learn how to deploy Shiny applications over the internet, as well as and how to handle storage and data persistence within Shiny applications, including the use of relational databases. By the end of this book, you'll be ready to create responsive, interactive web applications using the complete R (v 3.4) Shiny (1.1.0) suite.
Table of Contents (11 chapters)

Interactive tables

In the preceding example application, we saw how to make our plot interactive. Now it's time to make tables interactive. Interactive plots mean we can have freedom in selecting rows/columns/cells and shorting columns.

DT is a package with DT library that helps us to make tables more interactive. Let's see a small client-side example of Data Tables with Shiny:

library(shiny) 
library(DT) 
shinyApp( 
  ui = fluidPage(DTOutput('tbl')), 
  server = function(input, output) { 
    output$tbl = renderDT( 
      iris, options = list(lengthChange = FALSE) 
    ) 
}) 

In the preceding code, DTOutput() is for outputting the table on UI, and on the server side we have used renderDT() to send the data into the UI from the iris dataset. The output can be seen here:

We can see in the preceding screenshot that we can select rows using a mouse pointer....