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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

By : Chris Beeley, Shitalkumar R. Sukhdeve
3.8 (4)
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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

3.8 (4)
By: Chris Beeley, Shitalkumar R. Sukhdeve

Overview of this book

Web Application Development with R Using Shiny helps you become familiar with the complete R Shiny package. The book starts with a quick overview of R and its fundamentals, followed by an exploration of the fundamentals of Shiny and some of the things that it can help you do. You’ll learn about the wide range of widgets and functions within Shiny and how they fit together to make an attractive and easy to use application. Once you have understood the basics, you'll move on to studying more advanced UI features, including how to style apps in detail using the Bootstrap framework or and Shiny's inbuilt layout functions. You'll learn about enhancing Shiny with JavaScript, ranging from adding simple interactivity with JavaScript right through to using JavaScript to enhance the reactivity between your app and the UI. You'll learn more advanced Shiny features of Shiny, such as uploading and downloading data and reports, as well as how to interact with tables and link reactive outputs. Lastly, you'll learn how to deploy Shiny applications over the internet, as well as and how to handle storage and data persistence within Shiny applications, including the use of relational databases. By the end of this book, you'll be ready to create responsive, interactive web applications using the complete R (v 3.4) Shiny (1.1.0) suite.
Table of Contents (11 chapters)
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Controlling specific input with the isolate() function

There may be situations when the observer or conductor wants to read the value of an expression but avoid dependency. Suppose we want to import some data or perform some calculations, but only after a button has been clicked.

Let's take a look at this example:

library(shiny) 
# Define UI for application that draws a histogram 
ui<- fluidPage( 
      # Application title 
titlePanel("Old Faithful Geyser Data"), 
      # Sidebar with a slider input for number of bins  
sidebarLayout( 
sidebarPanel( 
sliderInput("bins", 
                     "Number of bins:", 
min = 1, 
max = 50, 
value = 30) 
      ),    
      # Show a plot of the generated distribution 
mainPanel( 
actionButton("goButton","Go!"), 
plotOutput("distPlot") 
      ) 
   ) 
) 
# Define server logic...
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