There are many data types and structures of data within R. The following topics summarize some of the main types and structures that you will use when building Shiny applications.
Data types and structures
by Shitalkumar R. Sukhdeve, Chris Beeley
Web Application Development with R Using Shiny - Third Edition
- Title Page
- Copyright and Credits
- www.PacktPub.com
- Contributors
- Preface
- Beginning R and Shiny
- Shiny First Steps
- Integrating Shiny with HTML
- Mastering Shiny's UI Functions
- Easy JavaScript and Custom JavaScript Functions
- Dashboards
- 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
- 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
- Other Books You May Enjoy
Data types and structures
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