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Learning Shiny

By : Hernan Resnizky
Book Image

Learning Shiny

By: Hernan Resnizky

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Learning Shiny
Hernan Resnizky
Oct, 2015 | 246 pages
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Table of Contents (19 chapters)
Learning Shiny
Learning Shiny
Credits
Credits
About the Author
About the Author
Acknowledgements
Acknowledgements
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Introducing R, RStudio, and Shiny
Introducing R, RStudio, and Shiny
About R
About RStudio
About Shiny
Summary
2
First Steps towards Programming in R
First Steps towards Programming in R
Object-oriented programming concepts
Variables in R
Classes in depth
Element selection
Control structures in R
Reading data
Summary
3
An Introduction to Data Processing in R
An Introduction to Data Processing in R
Sorting elements
Basic summary functions
grep and regular expressions
The lapply, vapply, sapply, and apply functions
plyr
The data.table package
reshape2
Summary
4
Shiny Structure – Reactivity Concepts
Shiny Structure – Reactivity Concepts
Shiny as a package
An introduction to server.R and UI.R
The concept of reactivity
Reactive independent processes within an application
An introduction to global.R
Running a Shiny web application
An overview of simple examples
Summary
5
Shiny in Depth – A Deep Dive into Shiny's World
Shiny in Depth – A Deep Dive into Shiny's World
UI.R
Optimal usage of server.R and global.R
Shiny options
Summary
6
Using R's Visualization Alternatives in Shiny
Using R's Visualization Alternatives in Shiny
The graphics package
Plotting options
Legends
Plotting a fully customized plot with the graphics package
Including a plot in a Shiny application
A walk around the googleVis package
ggplot2 – first steps
Summary
7
Advanced Functions in Shiny
Advanced Functions in Shiny
The validate() function
The isolate() function
The observe() function
The reactiveValues() function
Input updates
Summary
8
Shiny and HTML/JavaScript
Shiny and HTML/JavaScript
The www directory
Creating UIs from plain HTML
The use of tags in UI.R
Relating HTML/JavaScript and server.R
Summary
9
Interactive Graphics in Shiny
Interactive Graphics in Shiny
Interaction possibilities within R graphics
D3.js integration
Summary
10
Sharing Applications
Sharing Applications
runGist/runGitHub/runUrl
shinyapps.io
Summary
11
From White Paper to a Full Application
From White Paper to a Full Application
Problem presentation
Conceptual design
Pre-application processing
global.R coding
UI.R partial coding
server.R coding
UI.R completion
Styling
Summary
Reference
Index
Index

Reference

Lichman, M. (2013). UCI Machine Learning Repository (http://archive.ics.uci.edu/ml). Irvine, CA: University of California, School of Information and Computer Science.

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