Web Application Development with R Using Shiny

Cover
Title Page
Copyright and Credits
www.PacktPub.com
Contributors
Table of Contents
Preface
Chapter 1: Beginning R and Shiny
	Installing R
	The R console
	Code editors and IDEs
	Learning R
		Getting help
	Loading data
	Data types and structures
		Dataframes, lists, arrays, and matrices
		Variable types
		Functions
		Objects
	Base graphics and ggplot2
		Bar chart
		Line chart
	Introduction to the tidyverse
		Ceci n\'est pas une pipe
		Gapminder
		A simple Shiny-enabled line plot
	Installing Shiny and running the examples
	Summary
Chapter 2: Shiny First Steps
	Types of Shiny application
		Interactive Shiny documents in RMarkdown
	A minimal example of a full Shiny application
		The ui.R of the minimal example
			A note on HTML helper functions
			The finished interface
		The server.R of the minimal example
			The program structure
			An optional exercise
				Embedding applications in documents
	Widget types
	The Gapminder application
		The UI
		Data processing
		Reactive objects
		Outputs
			Text summary
			Trend graphs
			A map using leaflet
	Advanced layout features
	Summary
Chapter 3: Integrating Shiny with HTML
	Running the applications and code
	Shiny and HTML
	Custom HTML links in Shiny
		ui.R
		server.R
	A minimal HTML interface
		index.html
		server.R
	Including a Shiny app on a web page
	HTML templates
		Inline template code
			server.R
			ui.R and template.html
		Defining code in the ui.R file
			ui.R
		Take a step back and rewind
	Exercise
		Debugging
	Bootstrap 3 and Shiny
	Summary
Chapter 4: Mastering Shiny\'s UI Functions
	Shiny\'s layout functions
		Simple
		Complete
		Do it yourself
		Combining layout functions
	Streamlining the UI by hiding elements
		Naming tabPanel elements
	Beautiful tables with DataTable
	Reactive user interfaces
		The reactive user interface example – server.R
		The reactive user interface example – ui.R
	Progress bars
	Progress bar with shinycssloaders
	Modals
	Alternative Shiny designs
	Summary
Chapter 5: Easy JavaScript and Custom JavaScript Functions
	JavaScript and Shiny
		Example 1 – reading and writing the DOM
			ui.R
			appendText.js
		Example 2 – sending messages between client and server
			ui.R
			server.R
			dropdownDepend.js
	Shinyjs
	Extendshinyjs
		ui.R
		server.R
		JavaScript
	Responding to events in JavaScript
	htmlwidgets
		Dygraphs
	rCharts
	d3heatmap
	threejs
	Summary
Chapter 6: Dashboards
	Applications in this chapter
	Flexdashboards
	Sidebar application with extra styling
		Adding icons to your UI
		Using shinythemes
	Using the grid layout
		ui.R
	Full dashboard
		Notifications
	Info boxes
		ui.R
		Google Charts gauge
			Resizing the Google chart
		ui.R
	Summary
Chapter 7: Power Shiny
	Animation
	Reading client information and GET requests in Shiny
	Custom interfaces from GET strings
	Downloading graphics and reports
	Downloadable reports with knitr
	Downloading and uploading data
	Bookmarking
		Bookmarking state
			Encoding the state into a URL
				Single-file application
				Multiple-file application
			Bookmarking by saving the state to the server
	Interactive plots
	Interactive tables
		Row selection
		Column selection
		Cell Selection
	Linking interactive widgets
	Shiny gadgets
	Adding a password
	Summary
Chapter 8: Code Patterns in Shiny Applications
	Reactivity in RShiny
		A closer look at reactivity
	Controlling specific input with the isolate() function
	Running reactive functions over time (execution scheduling)
	Event-handling using observeEvent and eventReactive
	Functions and modules
	Shinytest
	Debugging
	Handling errors (including validate() and req())
		Validate
		Handling missing input with req()
	Profiling R code
	Debounce and throttle
	Summary
Chapter 9: Persistent Storage and Sharing Shiny Applications
	Sharing over GitHub
		An introduction to Git
		Using Git and GitHub within Rstudio
			Projects in RStudio (h3)
	Sharing applications using Git
		Sharing using .zip and .tar
			Sharing with the world
		Shinyapps.io
			Shinyapps.io without RStudio
			Shiny server
			Running Shiny app on Amazon AWS
		Scoping, loading, and reusing data in Shiny applications
			Temporary data input/output
	Persistent data storage
	Database using Dplyr, DBI, and POOL
	SQL Injection
	Summary
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Index