running the math input panel based on file hash

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The former is currently more up-to-date with modern Shiny features, whereas the latter takes a deeper, more visual, dive into fundamental concepts. # Launches an app, with the app's source code includedįor more examples and inspiration, check out the Shiny User Gallery.įor help with learning fundamental Shiny programming concepts, check out the Mastering Shiny book and the Shiny Tutorial. Once installed, load the library and run an example: library(shiny) To install the stable version from CRAN: install.packages('shiny') Getting Started

A rich ecosystem of extension packages for more custom widgets, input validation, unit testing, and more.

An ability to bookmark application state and/or generate code to reproduce output(s).

Modules: a framework for reducing code duplication and complexity.

Tools for improving and monitoring performance, including native support for async programming, caching, load testing, and more.

Seamless integration with R Markdown, making it easy to embed numerous applications natively within a larger dynamic document.

An attractive default look based on Bootstrap which can also be easily customized with the bslib package or avoided entirely with more direct R bindings to HTML/CSS/JavaScript.

A prebuilt set of highly sophisticated, customizable, and easy-to-use widgets (e.g., plots, tables, sliders, dropdowns, date pickers, and more).

Compared to event-based programming, reactivity allows Shiny to do the minimum amount of work when input(s) change, and allows humans to more easily reason about complex MVC logic.

An intuitive and extensible reactive programming model which makes it easy to transform existing R code into a 'live app' where outputs automatically react to new user input.

Easily build rich and productive interactive web apps in R - no HTML/CSS/JavaScript required.

Running the math input panel based on file hash