Book Image

Web Application Development with R Using Shiny Second Edition - Second Edition

By : Chris Beeley
Book Image

Web Application Development with R Using Shiny Second Edition - Second Edition

By: Chris Beeley

Overview of this book

R is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here comes Shiny to your rescue! Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.
Table of Contents (14 chapters)
Web Application Development with R Using Shiny Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 7. Sharing Your Creations

Having made all of these wonderfully intuitive and powerful applications, you are quite naturally going to want to show them off. You may wish to share them with colleagues or members of the worldwide R community. You may wish to share them with individuals in your department or field who, while not R users, can handle a little bit of effort to get an application working. Or you may wish to share them transparently and freely with the whole world by hosting them on a server.

Shiny offers quite a lot of approaches to sharing applications, and you'll be glad to hear that even the most complex should not be too taxing with the right hardware and OS on your server. In this chapter, we will take a look at the following:

  • Sharing your work with R users using Gist or GitHub

  • Using .zip and .tar files locally or over the Internet to share an application

  • Sharing over the Web using free and paid-for hosting and technologies from Rstudio

  • Reusing data across Shiny applications...