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Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Tools
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introducing R, RStudio, and Shiny FREE CHAPTER 2. First Steps towards Programming in R 3. An Introduction to Data Processing in R 4. Shiny Structure – Reactivity Concepts 5. Shiny in Depth – A Deep Dive into Shiny's World 6. Using R's Visualization Alternatives in Shiny 7. Advanced Functions in Shiny 8. Shiny and HTML/JavaScript 9. Interactive Graphics in Shiny 10. Sharing Applications 11. From White Paper to a Full Application Index

UI.R completion

The only thing remaining to do in order to have a fully functional application is display the outputs in UI.R. As it was explained before, each render variable has a corresponding output counterpart. Back to our example, as explained in the following sections this is how UI.R is completed.

UI.R

As it has been explained, every output name corresponds to an object in the output list created in server.R:

library(shiny)

# Starting line
shinyUI(fluidPage(
 
 # Application title
 titlePanel("Adult Dataset"),
 
 sidebarLayout(
   
   # Sidebar
   
   sidebarPanel(
     h1("Gender"),
     checkboxGroupInput("gender", "Choose the genders",
     choices = levels(data.adult$sex),
     selected = levels(data.adult$sex)),
     h1("Age"),
     sliderInput("minage", "Select lower limit", min(data.adult$age), max(data.adult$age), value = min(data.adult$age), step = 1),
     sliderInput("maxage", "Select upper...
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