Mastering shiny : build interactive apps, reports, and dashboards powered by R

Mastering shiny build interactive apps, reports, and dashboards powered by R

Detalles Bibliográficos
Otros Autores: Wickham, Hadley, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly [2021]
Edición:First edition
Materias:
R (Computer program language).
Application software > Development.
Web site development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631305806719
Tabla de Contenidos:
  • Intro
  • Table of Contents
  • Preface
  • What Is Shiny?
  • Who Should Read This Book?
  • What Will You Learn?
  • What Won't You Learn?
  • Prerequisites
  • Conventions Used in This Book
  • Using Code Examples
  • O'Reilly Online Learning
  • How to Contact Us
  • Acknowledgments
  • How This Book Was Built
  • Part I. Getting Started
  • Chapter 1. Your First Shiny App
  • Introduction
  • Create App Directory and File
  • Running and Stopping
  • Adding UI Controls
  • Adding Behavior
  • Reducing Duplication with Reactive Expressions
  • Summary
  • Exercises
  • Chapter 2. Basic UI
  • Introduction
  • Inputs
  • Common Structure
  • Free Text
  • Numeric Inputs
  • Dates
  • Limited Choices
  • File Uploads
  • Action Buttons
  • Exercises
  • Outputs
  • Text
  • Tables
  • Plots
  • Downloads
  • Exercises
  • Summary
  • Chapter 3. Basic Reactivity
  • Introduction
  • The Server Function
  • Input
  • Output
  • Reactive Programming
  • Imperative Versus Declarative Programming
  • Laziness
  • The Reactive Graph
  • Reactive Expressions
  • Execution Order
  • Exercises
  • Reactive Expressions
  • The Motivation
  • The App
  • The Reactive Graph
  • Simplifying the Graph
  • Why Do We Need Reactive Expressions?
  • Controlling Timing of Evaluation
  • Timed Invalidation
  • On Click
  • Observers
  • Summary
  • Chapter 4. Case Study: ER Injuries
  • Introduction
  • The Data
  • Exploration
  • Prototype
  • Polish Tables
  • Rate Versus Count
  • Narrative
  • Exercises
  • Summary
  • Part II. Shiny in Action
  • Chapter 5. Workflow
  • Development Workflow
  • Creating the App
  • Seeing Your Changes
  • Controlling the View
  • Debugging
  • Reading Tracebacks
  • Tracebacks in Shiny
  • The Interactive Debugger
  • Case Study
  • Debugging Reactivity
  • Getting Help
  • Reprex Basics
  • Making a Reprex
  • Making a Minimal Reprex
  • Case Study
  • Summary
  • Chapter 6. Layout, Themes, HTML
  • Introduction.
  • Single-Page Layouts
  • Page Functions
  • Page with Sidebar
  • Multirow
  • Exercises
  • Multipage Layouts
  • Tabsets
  • Navlists and Navbars
  • Bootstrap
  • Themes
  • Getting Started
  • Shiny Themes
  • Plot Themes
  • Exercises
  • Under the Hood
  • Summary
  • Chapter 7. Graphics
  • Interactivity
  • Basics
  • Clicking
  • Other Point Events
  • Brushing
  • Modifying the Plot
  • Interactivity Limitations
  • Dynamic Height and Width
  • Images
  • Summary
  • Chapter 8. User Feedback
  • Validation
  • Validating Input
  • Canceling Execution with req()
  • req() and Validation
  • Validate Output
  • Notifications
  • Transient Notification
  • Removing on Completion
  • Progressive Updates
  • Progress Bars
  • Shiny
  • Waiter
  • Spinners
  • Confirming and Undoing
  • Explicit Confirmation
  • Undoing an Action
  • Trash
  • Summary
  • Chapter 9. Uploads and Downloads
  • Upload
  • UI
  • Server
  • Uploading Data
  • Download
  • Basics
  • Downloading Data
  • Downloading Reports
  • Case Study
  • Exercises
  • Summary
  • Chapter 10. Dynamic UI
  • Updating Inputs
  • Simple Uses
  • Hierarchical Select Boxes
  • Freezing Reactive Inputs
  • Circular References
  • Interrelated Inputs
  • Exercises
  • Dynamic Visibility
  • Conditional UI
  • Wizard Interface
  • Exercises
  • Creating UI with Code
  • Getting Started
  • Multiple Controls
  • Dynamic Filtering
  • Dialog Boxes
  • Exercises
  • Summary
  • Chapter 11. Bookmarking
  • Basic Idea
  • Updating the URL
  • Storing Richer State
  • Bookmarking Challenges
  • Exercises
  • Summary
  • Chapter 12. Tidy Evaluation
  • Motivation
  • Data-Masking
  • Getting Started
  • Example: ggplot2
  • Example: dplyr
  • User-Supplied Data
  • Why Not Use Base R?
  • Tidy-Selection
  • Indirection
  • Tidy-Selection and Data-Masking
  • parse() and eval()
  • Summary
  • Part III. Mastering Reactivity
  • Chapter 13. Why Reactivity?
  • Introduction.
  • Why Do We Need Reactive Programming?
  • Why Can't You Use Variables?
  • What About Functions?
  • Event-Driven Programming
  • Reactive Programming
  • A Brief History of Reactive Programming
  • Summary
  • Chapter 14. The Reactive Graph
  • Introduction
  • A Step-by-Step Tour of Reactive Execution
  • A Session Begins
  • Execution Begins
  • Reading a Reactive Expression
  • Reading an Input
  • Reactive Expression Completes
  • Output Completes
  • The Next Output Executes
  • Execution Completes, Outputs Flushed
  • An Input Changes
  • Invalidating the Inputs
  • Notifying Dependencies
  • Removing Relationships
  • Re-execution
  • Exercises
  • Dynamism
  • The Reactlog Package
  • Summary
  • Chapter 15. Reactive Building Blocks
  • Reactive Values
  • Exercises
  • Reactive Expressions
  • Errors
  • on.exit()
  • Exercises
  • Observers and Outputs
  • Isolating Code
  • isolate()
  • observeEvent() and eventReactive()
  • Exercises
  • Timed Invalidation
  • Polling
  • Long-Running Reactives
  • Timer Accuracy
  • Exercises
  • Summary
  • Chapter 16. Escaping the Graph
  • Introduction
  • What Doesn't the Reactive Graph Capture?
  • Case Studies
  • One Output Modified by Multiple Inputs
  • Accumulating Inputs
  • Pausing Animations
  • Exercises
  • Antipatterns
  • Summary
  • Part IV. Best Practices
  • Chapter 17. General Guidelines
  • Introduction
  • Code Organization
  • Testing
  • Dependency Management
  • Source Code Management
  • Continuous Integration/Deployment
  • Code Reviews
  • Summary
  • Chapter 18. Functions
  • File Organization
  • UI Functions
  • Other Applications
  • Functional Programming
  • UI as Data
  • Server Functions
  • Reading Uploaded Data
  • Internal Functions
  • Summary
  • Chapter 19. Shiny Modules
  • Motivation
  • Module Basics
  • Module UI
  • Module Server
  • Updated App
  • Namespacing
  • Naming Conventions
  • Exercises
  • Inputs and Outputs.
  • Getting Started: UI Input and Server Output
  • Case Study: Selecting a Numeric Variable
  • Server Inputs
  • Modules Inside of Modules
  • Case Study: Histogram
  • Multiple Outputs
  • Exercises
  • Case Studies
  • Limited Selection and Other
  • Wizard
  • Dynamic UI
  • Single Object Modules
  • Summary
  • Chapter 20. Packages
  • Converting an Existing App
  • Single File
  • Module Files
  • A Package
  • Benefits
  • Workflow
  • Sharing
  • Extra Steps
  • Deploying Your App-Package
  • R CMD check
  • Summary
  • Chapter 21. Testing
  • Testing Functions
  • Basic Structure
  • Basic Workflow
  • Key Expectations
  • User Interface Functions
  • Workflow
  • Code Coverage
  • Keyboard Shortcuts
  • Workflow Summary
  • Testing Reactivity
  • Modules
  • Limitations
  • Testing JavaScript
  • Basic Operation
  • Case Study
  • Testing Visuals
  • Philosophy
  • When Should You Write Tests?
  • Summary
  • Chapter 22. Security
  • Data
  • Compute Resources
  • Chapter 23. Performance
  • Dining at Restaurant Shiny
  • Benchmark
  • Recording
  • Replay
  • Analysis
  • Profiling
  • The Flame Graph
  • Profiling R Code
  • Profiling a Shiny App
  • Limitations
  • Improve Performance
  • Caching
  • Basics
  • Caching a Reactive
  • Caching Plots
  • Cache Key
  • Cache Scope
  • Other Optimizations
  • Schedule Data Munging
  • Manage User Expectations
  • Summary
  • Index
  • About the Author
  • Colophon.

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