Functions to improve user experience of your apps

In order to use any shinyjs function in a Shiny app, you must first call useShinyjs() anywhere in the app’s UI.

Function	Description
show / hide / toggle	Display or hide an element (optionally with an animation).
hidden	Initialize a Shiny tag as invisible (can be shown later with a call to show).
enable / disable / toggleState	Enable or disable an input element, such as a button or a text input.
disabled	Initialize a Shiny input as disabled.
reset	Reset a Shiny input widget back to its original value.
refresh	Refresh the page.
delay	Execute R code (including any shinyjs functions) after a specified amount of time.
alert	Show a message to the user.
click	Simulate a click on a button.
html	Change the text/HTML of an element.
onclick	Run R code when a specific element is clicked. Was originally developed with the sole purpose of running a shinyjs function when an element is clicked, though any R code can be used.
onevent	Similar to onclick, but can be used with many other events instead of click (for example, listen for a key press, mouse hover, etc).
removeEvent	Remove an event that was added to an HTML element with onclick() or onevent().
addClass / removeClass / toggleClass	add or remove a CSS class from an element.
runjs	Run arbitrary JavaScript code.
extendShinyjs	Allows you to write your own JavaScript functions and use shinyjs to call them as if they were regular R code. More information is available in the section “Calling your own JavaScript functions from R” below.

Functions that help you during Shiny app development

Function	Description
runcodeUI + runcodeServer	Adds a text input to your app that lets you run arbitrary R code live.
showLog	Print any JavaScript console.log() messages in the R console, to make it easier and quicker to debug apps without having to open the JS console.
logjs	Print a message to the JavaScript console (mainly used for debugging purposes).
inlineCSS	Easily add inline CSS to a Shiny app.

Demo

You can test out some shinyjs functions below. Choose some R code from the dropdown list, and click Run.