Integrating Shiny with HTML | Web Application Development with R Using Shiny Second Edition

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Web Application Development with R Using Shiny Second Edition - Second Edition

By : Chris Beeley

3.8 (4)

Web Application Development with R Using Shiny Second Edition

3.8 (4)

By: Chris Beeley

Overview of this book

R is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here comes Shiny to your rescue! Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Beginning R and Shiny

Beginning R and Shiny

Installing R

The R console

Code editors and IDEs

Learning R

Loading data

Data types and structures

Base graphics and ggplot2

Introduction to the tidyverse

Installing Shiny and running the examples

Summary

Shiny First Steps

Shiny First Steps

Types of Shiny application

A minimal example of a full Shiny application

Widget types

The Gapminder application

Advanced layout features

Summary

Integrating Shiny with HTML

Integrating Shiny with HTML

Running the applications and code

Shiny and HTML

Custom HTML links in Shiny

A minimal HTML interface

Including a Shiny app on a web page

HTML templates

Exercise

Bootstrap 3 and Shiny

Summary

Mastering Shiny's UI Functions

Mastering Shiny's UI Functions

Shiny's layout functions

Streamlining the UI by hiding elements

Beautiful tables with DataTable

Reactive user interfaces

Progress bars

Progress bar with shinycssloaders

Modals

Alternative Shiny designs

Summary

Easy JavaScript and Custom JavaScript Functions

Easy JavaScript and Custom JavaScript Functions

JavaScript and Shiny

Shinyjs

Extendshinyjs

Responding to events in JavaScript

htmlwidgets

rCharts

d3heatmap

threejs

Summary

Dashboards

Dashboards

Applications in this chapter

Flexdashboards

Sidebar application with extra styling

Using the grid layout

Full dashboard

Info boxes

Summary

Power Shiny

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

Interactive plots

Interactive tables

Linking interactive widgets

Shiny gadgets

Adding a password

Summary

Code Patterns in Shiny Applications

Code Patterns in Shiny Applications

Reactivity in RShiny

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())

Profiling R code

Debounce and throttle

Summary

Persistent Storage and Sharing Shiny Applications

Persistent Storage and Sharing Shiny Applications

Sharing over GitHub

Sharing applications using Git

Persistent data storage

Database using Dplyr, DBI, and POOL

SQL Injection

Summary

Other Books You May Enjoy

Other Books You May Enjoy

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JavaScript and Shiny

With Shiny, JavaScript, and jQuery, you can build pretty much anything you can think of; moreover, Shiny and jQuery will do a lot of the heavy lifting, which means that fairly minimal amounts of code will be required. We are going to take a look at another couple of toy examples.

Note

Please note that these examples do NOT represent best practice in coding. They do not make the best use of CSS, HTML, or jQuery. They are just there to demonstrate the principles and show you how easy it is. In your own applications, you will want to make use of HTML, JavaScript (and/ or jQuery), and CSS in the most appropriate and efficient way.

The connection between JavaScript and Shiny is another reason to recommend RStudio as an IDE because it performs beautiful syntax highlighting on JavaScript straight out of the box (although, clearly, other text editors and IDEs may do this or be easily configured to do so).

Before we proceed, it's worth reviewing the difference between server- and...

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