Shiny 0.10

2014-06-20 Joe Cheng
Shiny 0.10 is now available on CRAN. Interactive documents In this release, the biggest changes were under the hood to support the creation of interactive documents. If you haven’t had a chance to check out interactive documents, we really encourage you to do so—it may be the easiest way to learn Shiny. New layout functions Three new functions—flowLayout(), splitLayout(), and inputPanel()—were added for putting UI elements side by side. Read more →

Interactive documents: An incredibly easy way to use Shiny

2014-06-19 Garrett Grolemund
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R Markdown’s new interactive documents provide a quick, light-weight way to use Shiny. An interactive document embeds Shiny elements in an R Markdown report. The report becomes “live”, a choose your own adventure that readers can control and explore. Interactive documents are easy to create and easy to share. Create an interactive document To create an interactive document use RStudio to create a new R Markdown file, choose the Shiny document template, then click “Run Document” to show a preview: Read more →

New Version of RStudio: R Markdown v2 and More

2014-06-18 RStudio Team
Today we’re very pleased to announce a new version of RStudio (v0.98.932) which is available for download now. New features in this release include: A next generation implementation of R Markdown with a raft of new features including support for HTML, PDF, and Word output, many new options for customizing document appearance, and the ability to create presentations (Beamer or HTML5). Interactive Documents (Shiny meets R Markdown). Readers can now change the parameters underlying your analysis and see the results immediately. Read more →

R Markdown v2

2014-06-18 Yihui Xie
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People rarely agree on a best authoring tool or language. Some people cannot live without \LaTeX{} because of the beauty and quality of its PDF output. Some \feel{} \uncomfortable{} \with{} \backslashes{}, and would rather live in another World Word. We have also witnessed the popularity of Markdown, an incredibly simple language (seriously? a LANGUAGE?) that has made reproducible research much easier. Thinking of all these tools and languages, every developer will dream about “One ring to rule them all”. Read more →

Comment sections and help instructions at the Shiny Dev Center

2014-05-28 Garrett Grolemund
We’ve added two new features that make it easier to learn Shiny with the Shiny Dev Center. Disqus comments - Each lesson and article on the Dev Center now has its own comments section. Use the comments section to start a discussion or to leave feedback about the articles. How to get help with Shiny - We’ve added a new article, How to get help with Shiny, which explains the best ways to get help with Shiny and R. Read more →

dplyr 0.2

2014-05-21 Hadley Wickham
I’m very excited to announce dplyr 0.2. It has three big features: improved piping courtesy of the magrittr package a vastly more useful implementation of do() five new verbs: sample_n(), sample_frac(), summarise_each(), mutate_each and glimpse(). These features are described in more detail below. To learn more about the 35 new minor improvements and bug fixes, please read the full release notes. Improved piping dplyr now imports %>% from the magrittr package by Stefan Milton Bache. Read more →

roxygen2 4.0.1

2014-05-19 Hadley Wickham
We’re pleased to announce a new version of roxygen2. Roxygen2 allows you to write documentation comments that are automatically converted to R’s standard Rd format, saving you time and reducing duplication. This release is a major update that provides enhanced error handling and considerably safer default behaviour. Roxygen2 now adds a comment to all generated files so that you know they shouldn’t be edited by hand. This also ensures that roxygen2 will never overwrite a file that it did not create, and can automatically remove files that are no longer needed. Read more →

reshape2 1.4; Kevin Ushey joins Rstudio

2014-05-09 Hadley Wickham
reshape2 1.4 is now available on CRAN. This version adds a number of useful arguments and messages, but mostly importantly it gains a C++ implementation of melt.data.frame(). This new method should be much much faster (>10x) and does a better job of preserving existing attributes. For full details, see the release notes on github. The C++ implementation of melt was contributed by Kevin Ushey, who we’re very pleased to announce has joined RStudio. Read more →

New Shiny article: Style your apps with CSS

2014-05-07 Garrett Grolemund
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Shiny apps use an HTML interface, which means that you can change the visual appearance of your apps quickly and simply with CSS files. Would you like to know how? I posted a new article that will step you through the options at the Shiny Dev Center. Check it out here. Read more →

Announcing RStudio Shiny Server Pro v1.1

2014-04-22 Roger Oberg
We are happy to announce the availability of v1.1 of RStudio Shiny Server Pro, our commercial server for deploying Shiny applications. In this release we took your feedback and made it easier for you to integrate Shiny Server Pro into your production environments. With Shiny Server Pro v1.1 you now can: Control access to your applications with Google Authentication (OAuth2). Create sessions and authenticate with PAM (auth_pam and pam_sessions_profile). Read more →