Javascript for R (Chapman & Hall/CRC The R Series)

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
List of Figures
Preface
I. Basics and Roadmap
	1. Overview
		1.1. Rationale
		1.2. Methods
			1.2.1. V8
			1.2.2. htmlwidgets
			1.2.3. Shiny
			1.3.1. reactR & vueR
			1.3.2. r2d3
		1.3. Methods Amiss
	2. Prerequisites
		2.1. R Package Development
			2.1.1. Creating a Package
			2.1.2. Metadata
			2.1.3. R code
			2.1.4. Documentation
			2.1.5. Installed files
			2.1.6. Build, load, and install
		2.2. JSON
			2.2.1. Serialising
			2.2.2. Tabular Data
		2.3. JavaScript
			2.3.1. Developer Tools
			2.3.2. Variable Declaration and Scope
			2.3.3. Document Object Model
		2.4. Shiny
			2.4.1. Serving Static Files
			2.4.2. Htmltools
			2.4.3. Serving vs. htmltools
II. Data Visualisation
	3. Introduction to Widgets
		3.1. Plotly package
		3.2. DT package
		3.3. Crosstalk
		3.4. Wrap-up
	4. Basics of Building Widgets
		4.1. Read and Study
		4.2. Candidate Libraries
			4.2.1. Plotly.js
			4.2.2. Highchart.js
			4.2.3. Chart.js
		4.3. How It Works
	5. Your First Widget
		5.1. The Scaffold
		5.2. The HTML Output
		5.3. JavaScript Files
	6. A Realistic Widget
		6.1. Dependencies
		6.2. Implementation
		6.3. HTML Element
	7. The Full Monty
		7.1. Dependencies
		7.2. JavaScript
		7.3. Working with Data
		7.4. Transforming Data
			7.4.1. Using JavaScript
			7.4.2. Modify Serialiser
			7.4.3. Replace Serialiser
			7.4.4. Modify the Data
			7.4.5. Pros and Cons
		7.5. On Print Method
	8. Advanced Topics
		8.1. Shared Variables
			8.1.1. Sizing
			8.1.2. Sizing Policy
		8.2. Resizing
		8.3. Pre Render Hooks and Security
		8.4. JavaScript Code
		8.5. Prepend and Append Content
		8.6. Dependencies
		8.7. Compatibility
		8.8. Unit Tests
		8.9. Performances
	9. Linking Widgets
		9.1. Crosstalk Examples
		9.2. Crosstalk Requirements
		9.3. How it Works
			9.3.1. Keys
			9.3.2. Communication Lines
			9.3.3. Groups
		9.4. Crosstalk with Gio
		9.5. R code
		9.6. JavaScript Code
			9.6.1. Send Selected Keys
			9.6.2. Set Selected Keys
		9.7. Using Crosstalk with Gio
	10. Final Revisions
		10.1. Htmlwidgets and Data
		10.2. Plethora of Options
		10.3. Interface Design
		10.4. Exercises
III. Web Development with Shiny
	11. Bidirectional Communication
		11.1. WebSocket an Shiny
		11.2. Sessions
		11.3. Alerts, an example
			11.3.1. Explore
			11.3.2. From R to JavaScript
			11.3.3. Serialisation
			11.3.4. JavaScript to R
	12. A Complete Integration
		12.1. Discover
		12.2. Setup
		12.3. Dependencies
		12.4. Static Files
		12.5. Skeleton
		12.6. From R to JavaScript
		12.7. From JavaScript to R
		12.8. Input handler
		12.9. As a Package
			12.9.1. Dependencies
			12.9.2. Trigger classification
			12.9.3. JavaScript code
			12.9.4. Input handler
			12.9.5. Test
	13. Tips and Tricks
		13.1. Shiny Events
		13.2. Table Buttons
		13.3. jQuery
	14. Custom Outputs
		14.1. Inner-workings
		14.2. Setup
		14.3. Output R Function
		14.4. Generate Output HTML
		14.5. Output Renderer
		14.6. JavaScript Output Binding
			14.6.1. Boxxy Title
			14.6.2. Boxxy Value
			14.6.3. Boxxy Background Color
			14.6.4. Register the Output Binding
		14.7. Boxxy Usage
		14.8. Injecting Dependencies
		14.9. Preprocessing Custom Outputs
	15. Custom Inputs
		15.1. Setup
		15.2. Switch Input HTML and Style
		15.3. Generate Input HTML
		15.4. JavaScript Input Binding
			15.4.1. Find Inputs
			15.4.2. Get Input Id
			15.4.3. Get Input Value
			15.4.4. Set Input Value
			15.4.5. Receive Input Messages
			15.4.6. Subscribe and Unsubscribe Inputs
			15.4.7. Input Rate Policy
			15.4.8. Registering the Input Binding
		15.5. Update Input
		15.6. Exercise
	16. Cookies
		16.1. Discover js-cookie
		16.2. Setup Project
		16.3. JavaScript Cookies
		16.4. R Code
		16.5. Exercises
	17. Widgets with Shiny
		17.1. Widgets to R
		17.2. Input Handlers for Widgets
		17.3. R to Widgets
			17.3.1. Send Data from Widgets
			17.3.2. Retrieve Widget Instance
			17.3.3. Handle Data
		17.4. Proxy Function
		17.5. Clear Data
		17.6. Update the Widget
IV. JavaScript for Computations
	18. The V8 Engine
		18.1. Installation
		18.2. Basics
		18.3. External Libraries
		18.4. NPM Packages
		18.5. Use in Packages
	19. Machine Learning
		19.1. Dependency
		19.2. Simple Regression
		19.3. Exercises
V. Robust JavaScript
	20. Managing JavaScript
		20.1. Example
		20.2. Transpiling
		20.3. Minification
		20.4. Bundling and Modules
		20.5. Decoupling
		20.6. NPM
		20.7. With R
	21. Discover Webpack and NPM
		21.1. Installation
			21.1.1. Mac OS
			21.1.2. Ubuntu
			21.1.3. Windows
			21.1.4. Other
		21.2. Set Up the App
		21.3. Initialise NPM
		21.4. Installing NPM Packages
		21.5. Entry Point and Output
		21.6. Configuration File
		21.7. NPM scripts
		21.8. Source maps
		21.9. Bundle
		21.10. Internal Dependencies
		21.11. External Dependencies
		21.12. Import and Export
			21.12.1. Named
			21.12.2. Default
			21.12.3. Wrap-up
	22. Webpack with R
		22.1. Principles of packer
		22.2. Scaffolds
		22.3. Inputs
		22.4. R file
		22.5. JavaScript Files
		22.6. Bundle
	23. Webpack Advanced
		23.1. Widgets
		23.2. Shiny with Vue and Bootstrap 4
			23.2.1. Setup
			23.2.2. Bootstrap 4 Installation
			23.2.3. Vue Code
VI. Closing Remarks
	24. Conclusion
		24.1. Performances
		24.2. Trial and Error
		24.3. Functionality and UX
Bibliography
Index