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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

By : Chris Beeley, Shitalkumar R. Sukhdeve
3.8 (4)
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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

3.8 (4)
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)
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Beautiful tables with DataTable

Later versions of Shiny added support to draw tables using the wonderful DataTable jQuery library. This will enable your users to search and sort through large tables very easily. To see DataTable in action, visit the homepage at http://datatables.net/ or run the application featured in this chapter.

The package can be installed using install.packages("DT") and needs to be loaded in the preamble to the server.R and ui.R file with library(DT). Once this is done, using the package is quite straightforward. There are two functions: one in server.R (renderDataTable) and one in ui.R (dataTableOutput). They are used as follows:

### server. R 
output$countryTable = renderDataTable({

mapData %>%
filter(year == 2007) %>%
select(-c(lon, lat))
}) ### ui.R tabPanel("Table", dataTableOutput("countryTable"), value...
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