Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782174349
Length 194 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
Arrow right icon
View More author details
Toc

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image