Building R Web Applications with Shiny

37 Ratings

Course Number: RPROG-104

Duration: 2 days (13 hours)

Format: Live, hands-on

R with Shiny Training Overview

Accelebrate's Building R Web Applications with Shiny course teaches attendees how to convert their R-based data analytics programs into responsive, interactive web applications.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Objectives

  • Quickly review R fundamentals
  • Tour the directory structure of Shiny applications and learn how the components of a Shiny application interrelate
  • Use Shiny widgets
  • Layout their applications in a way that is responsive (i.e., viewable across multiple device types and resolutions)
  • Work with Shiny extensions
  • Deploy Shiny applications

Prerequisites

A basic knowledge of R is required, including an understanding of the role of objects in R, indexing, and calling and writing functions.

Outline

Expand All | Collapse All

A Brief R Overview
  • Working With Data
  • Creating Numerical and Graphical Summaries
  • Writing Functions in R
What is Shiny?
  • A Simple App that We Will Build on Day 1
  • A Fancy App that We Will Build on Day 2
The Shiny App Directory
  • ui.R
  • shiny.R
  • global.R
  • R and shinyServer
  • The www Directory
  • runApp
  • Other Local Launching Methods
Widgets and the Input List Elements They Create
  • Examples
  • verbatimTextOutput
Input List Elements and Their Role in shinyServer
Output List Elements and Their Role in shinyUI
Application Development Exercises
Application Layout
  • sidebar
  • The Bootstrap 12-Wide Grid System
  • tabsets, navlist, and navbarPage
  • Application Themes
Showcase Mode and the DESCRIPTION File
The Reactive Dependency Chain
Application Development Exercises
Shiny Extensions
  • DataTables
  • dygraphs
  • shinyRGL
Sharing Your App With Others
  • Setting up an AWS Server and Launching Via Shiny Server
  • Launching Via shinyapps.io
Conclusion

Training Materials:

All attendees receive comprehensive courseware and a textbook.

Software Requirements:

  • R 3.5 or later with console
  • IDE or text editor of your choice (RStudio recommended)


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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