Say hello to Shiny, a new R package that we’re releasing for public beta testing today.
Shiny makes it super simple for R users to turn analyses into interactive web applications that anyone can use. These applications let you specify input parameters using friendly controls like sliders, drop-downs, and text fields; and they can easily incorporate any number of outputs like plots, tables, and summaries.
More details, including live examples and a link to an extensive tutorial, can be found on the Shiny homepage.
The Shiny package is free and open source, and is designed primarily to run Shiny applications locally. To share Shiny applications with others, you can send them your application source as a GitHub gist, R package, or zip file (see details). We’re also working on a Shiny server that is designed to provide enterprise-grade application hosting, which we’ll offer as a subscription-based hosting service and/or commercial software package.
We’re really excited about Shiny, and look forward to seeing what kind of applications you come up with!
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This first post focuses on working with R Markdown in the RStudio IDE.
Announcing the 2021.10.0 release of the RStudio Professional Drivers, with single sign-on (SSO) for Hive and Impala.