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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny - Third Edition

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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Code Patterns in Shiny Applications

As your Shiny applications become larger and more complex, it is important to write clear, readable, and maintainable code. In some cases, it is also necessary to modularize your code. This chapter covers various aspects of writing and debugging Shiny applications, functions, and modules. We will also look at features that relate to the control of reactivity within your application and how to speed up Shiny applications.

In this chapter, we will cover the following topics:

  • Reactivity in RShiny
  • Controlling specific input with the isolate() function
  • Running reactive functions over time
  • Event handling using observeEvent
  • Functions and Modules
  • Shinytest
  • Debugging
  • Handling errors (including validate() and req())
  • Profiling R code
  • Debounce and throttle
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