Shiny 0.12 has been released to CRAN!
Compared to version 0.11.1, the major changes are:
Interactive plots with base graphics and ggplot2
Switch from RJSONIO to jsonlite
For a full list of changes and bugfixes in this version, see the NEWS file.
To install the new version of Shiny, run:
htmlwidgets is not required, but shiny 0.12 will not work with older versions of htmlwidgets, so it’s a good idea to install a fresh copy along with Shiny.
The major new feature in this version of Shiny is the ability to create interactive plots using R’s base graphics or ggplot2. Adding interactivity is easy: it just requires using one option in
plotOutput(), and then the information about mouse events will be available via the
You can use mouse events to read mouse coordinates, select or deselect points, and implement zooming. Here are some example applications:
Advanced interactions: This demonstrates many advanced features of interactive plots.
Excluding points (as depicted in the screen capture above)
In previous versions of Shiny, the data was serialized to/from JSON using the RJSONIO package. However, as of 0.12.0, Shiny switched from RJSONIO to jsonlite. The reasons for this are that jsonlite has better-defined conversion behavior, and it has better performance because much of it is now implemented in C.
For the vast majority of users, this will have no impact on existing Shiny apps.
The htmlwidgets package has also switched to jsonlite, and any Shiny apps that use htmlwidgets also require an upgrade to that package.
The version we just released to CRAN is actually 0.12.1; the previous version, 0.12.0, was released three weeks ago and deprecated Shiny’s
renderDataTable functions and instructed you to migrate to the nascent DT package instead. (We’ll talk more about DT in a future blog post.)
User feedback has indicated this transition was too sudden and abrupt, so we’ve undeprecated these functions in 0.12.1. We’ll continue to support these functions until DT has had more time to mature.
RStudio Connect allows you to easily share your Shiny apps with push-button publishing, while maintaining enterprise-level security and tuning resources to meet the demands of your application.
We answer questions from the community on the recent integration of RStudio on Amazon Sagemaker.