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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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Debugging

Debugging a Shiny app is not the same as debugging code in other programming languages, such as C, C++, or Java, where the control flow looks linear. Because RShiny is reactive, it runs on a web server as well as a Shiny framework. That makes it harder to debug.

If we get an error or an undesirable output, we can apply break points at the suspected line of code. This can be done by clicking on the left side of the code where the line number is given, which makes a red dot appear:

After running the code, Shiny will stop execution at the breakpoint and we can step into the code and take a look at the current variable values. Setting a breakpoint is possible with RStudio.

Sometimes, applying a breakpoint doesn't work, so we have to change the input and observe the output. We can then apply a break point again to try to diagnose the problem. We can enable the showcase...

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