Shiny v0.10.1 has been released to CRAN. You can either install it from a CRAN mirror, or update it if you have installed a previous version.
install.packages('shiny', repos = 'http://cran.rstudio.com') # or update your installed packages # update.packages(ask = FALSE, repos = 'http://cran.rstudio.com')
The most prominent change in this patch release is that we added full Unicode support on Windows. Shiny apps running on Windows must use the UTF-8 encoding for ui.R and server.R (also the optional global.R, README.md, and DESCRIPTION) if they contain non-ASCII characters. See this article for details and examples: https://shiny.rstudio.com/articles/unicode.html
Please note although we require UTF-8 for the app components, UTF-8 is not a general requirement for any other files. If you read/write text files in an app, you are free to use any encoding you want, e.g. you can
readLines('foo.txt', encoding = 'Windows-1252'). The article above has explained it in detail.
Other changes include:
runGitHub() also allows the
'username/repo' syntax now, which is equivalent to
runGitHub('repo', 'username'). (#427)
navbarPage() now accepts a
windowTitle parameter to set the web browser page title to something other than the title displayed in the navbar.
inline argument to
inline = TRUE, these outputs will be put in
span() instead of the default
div(). This occurs automatically when these outputs are created via the inline expressions (e.g.
r renderText(expr)) in R Markdown documents. See an R Markdown example at https://shiny.rstudio.com/gallery/inline-output.html (#512)
Added support for option groups in the select/selectize inputs. When the
choices argument for
selectizeInput() is a list of sub-lists and any sub-list is of length greater than 1, the HTML tag
<optgroup> will be used. See an example at here (#542)
We are excited to announce real-time collaborative editing on RStudio Cloud. Users can join the same project, edit code, and immediately see each other’s changes.
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This third post focuses on features that save you time and trouble.