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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
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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 (9) Chapters Close

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

d3heatmap

The d3heatmap package uses vanilla D3 and produces interactive heatmaps. It can be installed using install.packages("d3heatmap"). The output looks like the following screenshot:

d3heatmap

In the preceding screenshot, several variables are plotted (arranged along the x axis) for 10 countries (arranged along the y axis). Mouseover is supported, as shown in the preceding screenshot, with the result for users in India that is highlighted (108). The code is as follows:

output$ui_heatmap <- renderUI({
  d3heatmapOutput("heatmap")
})

The first thing to note that, as discussed at the beginning of this chapter, is that it is necessary to draw the UI in a reactive context. This is because the JavaScript functions from the rCharts (NVD3) output interfere with the JavaScript (D3) from this output. Providing a reactive context for the UI ensures that this output is redrawn and allows the plot to be displayed properly. This is quite simple, as we merely need to wrap the standard d3heatmap...

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