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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

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782174349
Length 194 pages
Edition 2nd Edition
Languages
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Author (1):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
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Table of Contents (14) Chapters Close

Web Application Development with R Using Shiny Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
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

Dygraphs


The dygraphs library in JavaScript (http://dygraphs.com/) is designed to show the time series and trend data. It supports zoom, pan, mouseover, and even supports mobile devices by offering pinch to zoom. The dygraphs R package provides a handy interface to many of the functions of the dygraphs library. It can be installed using install.packages("dygraphs").

We'll take a look at a few of the things that can be done with the package here. Let's take a look at the finished graph:

There are a couple of things you need to make a note of on this graph. Firstly, you can see the mouseover effect at the top-right of the graph, where the date and values of NHS and Other are listed. Secondly, this graph has been smoothed using a rolling average. The number of points to be averaged is specified in the widget on the left-hand side of the page (Select roll period) and is given by default in the small square box at the bottom-left of the graph. Thirdly, the grey box at the bottom with the selector...

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