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Web Application Development with R Using Shiny Second Edition

You're reading from Web Application Development with R Using Shiny Second Edition Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web

Product type Paperback

Published in Jan 2016

Publisher Packt

ISBN-13 9781782174349

Length 194 pages

Edition 2nd Edition

Languages

JavaScript

Tools

WebRTC

Concepts

Data Processing

Author (1):

Chris Beeley

View More author details

Table of Contents (9) Chapters

Preface

1. Getting Started with R and Shiny! FREE CHAPTER

2. Building Your First Application

3. Building Your Own Web Pages with Shiny

4. Taking Control of Reactivity, Inputs, and Outputs

5. Advanced Applications I – Dashboards

6. Advanced Applications II – Using JavaScript Libraries in Shiny Applications

7. Sharing Your Creations

Index

Bootstrap 3 and Shiny

Since the first edition of this book, Shiny has migrated from Bootstrap 2 to Bootstrap 3. There are now many functions, both within Shiny and in packages (such as shinyBS and shinythemes, both available on CRAN), which enhance the way you can style your applications straight from Shiny. There is more on advanced layout functions, Bootstrap 3, and packages to help you to style your applications in Chapter 5, Advanced Applications I – Dashboards.

The rest of the chapter is locked

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Authors (1)

Chris Beeley

Chris Beeley

Chris Beeley has been using R and other open source software for ten years to better capture, analyze, and visualize data in the healthcare sector in the UK. He is the author of Web Application Development with R Using Shiny. He works full-time, developing software to store, collate, and present questionnaire data using open technologies (MySQL, PHP, R, and Shiny), with a particular emphasis on using the web and Shiny to produce simple and attractive data summaries. Chris is working hard to increase the use of R and Shiny, both within his own organization and throughout the rest of the healthcare sector, as well to enable his organization to better use a variety of other data science tools. Chris has also delivered talks about Shiny all over the country.

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