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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 (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

Notifications


The ability to create notifications is part of a larger amount of functionality within shinydashboard, which allows you to create messages, tasks, and notifications in the header of your dashboard. For more details, visit rstudio.github.io/shinydashboard/structure.html.

In this example, we will just add notifications. The code is very similar to the other two types of content. On the server.R side, the code is as follows:

output$notifications <- renderMenu({

This line allows the notification content to be rendered dynamically and called in the ui.R file with dropdownMenuOutput("notifications"). We have the following code:

  users <- sum(gadf[gadf$date == max(gadf$date), "users"])
  newusers <- sum(gadf[gadf$date == max(gadf$date), "newUsers"]) /
  sum(gadf[gadf$date == max(gadf$date), "users"])
  * 100

These lines calculate the two values that we want— the number of users in the time period and the percentage of new users. We have the following code:

  newusers <- round...
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