In this chapter, we learned about R Shiny's advanced features. Animation, graphics, report development, and using knitr are wonderful professional-level presentation features; using these, anybody can share their results and tell the story about the data in hand. We also discussed and demonstrated the feature of bookmarking the Shiny app's state with different levels of complexity. Interactive plots and tables are new ways to play with data and finding new ways of dynamic presentation. Widgets are like cookbooks and can be used to speed up the app-development process. We can now also code for R users and developers by developing gadgets. Adding a password to our app can give us extra control on restricting the data accessed by end users. In this chapter, we studied most of the latest advanced features of presentation, code sharing, and authentication.
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Web Application Development with R Using Shiny
By :
Web Application Development with R Using Shiny
By:
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)
Preface
Free Chapter
Beginning R and Shiny
Shiny First Steps
Integrating Shiny with HTML
Mastering Shiny's UI Functions
Easy JavaScript and Custom JavaScript Functions
Dashboards
Power Shiny
Code Patterns in Shiny Applications
Persistent Storage and Sharing Shiny Applications
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