News

Shiny 0.8.0 released; Yihui Xie joins RStudio

2013-11-15 Joe Cheng

We’re very pleased to announce Shiny 0.8.0 (which actually went up on CRAN about two weeks ago). This release features a vastly better way to display tabular data, and new debugging tools that make it much easier to fix errors in your app. DataTables support We now support much more attractive and powerful displays of tabular data using the popular DataTables library. Our DataTables integration features pagination, searching/filtering, sorting, and more. Read more →

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The RStudio CRAN mirror

2013-06-10 Hadley Wickham

RStudio maintains its own CRAN mirror, http://cran.rstudio.com. The server itself is a virtual machine run by Amazon’s EC2 service, and it syncs with the main CRAN mirror in Austria once per day. When you contact http://cran.rstudio.com, however, you’re probably not talking to our CRAN mirror directly. That’s because we use Amazon CloudFront, a content delivery network, which automatically distributes the content to locations all over the world. When you try to download a package from the Rstudio cloud mirror, it’ll be retrieved from a local CloudFront cache instead of the CRAN mirror itself. Read more →

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Where in the world is R and RStudio

2012-10-01 Hadley Wickham

Using the web logs collected when users download RStudio, we’ve prepared the following two maps showing where RStudio is being used, over the whole globe and just within the continental USA. Obviously this data is somewhat biased, as it reflects the number of downloads of RStudio, rather than the number of users of R (which we’d really love to know!). However, based on a month’s worth of data, we think the broad patterns are pretty interesting. Read more →

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Welcome Hadley, Winston, and Garrett!

2012-08-20 RStudio Team

RStudio’s mission from the beginning has been to create powerful tools that support the practices and techniques required for creating trustworthy, high quality analysis. For many years Hadley Wickham has been teaching and working on his own set of tools for R with many of the same core goals. We’ve been collaborating quite a bit with Hadley over the past couple of years and today we’re excited to announce that Hadley, Winston Chang, and Garrett Grolemund are joining RStudio so we can continue to work together much more closely. Read more →

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Announcing RPubs: A New Web Publishing Service for R

2012-06-04 RStudio Team

Today we’re very excited to announce RPubs, a free service that makes it easy to publish documents to the web from R. RPubs is a quick and easy way to disseminate data analysis and R code and do ad-hoc collaboration with peers. RPubs documents are based on R Markdown, a new feature of knitr 0.5 and RStudio 0.96. To publish to RPubs within RStudio, you simply create an R Markdown document then click the Publish button within the HTML Preview window: Read more →

News

MathJax Syntax Change

2012-05-25 RStudio Team

We’ve just a made a change to the syntax for embedding MathJax equations in R Markdown documents. The change was made to eliminate some parsing ambiguities and to support future extensibility to additional formats. The revised syntax adds a “latex” qualifier to the $ or $$ equation begin delimiter. It looks like this: This change was the result of a few considerations: Some users encountered situations where the $equation$ syntax recognized standard text as an equation. Read more →

News

NYC Meetup: What's Next for R Markdown

2012-05-24 RStudio Team

There’s been lots of excitement about the new R Markdown feature introduced as part of knitr 0.5 and RStudio 0.96. People see R Markdown as both a simpler way to do reproducible research and as a great way to publish to the web from R. Jeromy Anglim has a nice write up on getting started with R Markdown and Marcus Gesmann describes how to embed Google Visualizations using his googleVis package. Read more →

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About the RStudio Project

2011-02-27 RStudio Team

We started the RStudio project because we were excited and inspired by R. The creators of R provided a flexible and powerful foundation for statistical computing; then made it free and open so that it could be improved collaboratively and its benefits could be shared by the widest possible audience. It’s better for everyone if the tools used for research and science are free and open. Reproducibility, widespread sharing of knowledge and techniques, and the leveling of the playing field by eliminating cost barriers are but a few of the shared benefits of free software in science. Read more →

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Welcome to our Weblog

2011-02-27 RStudio Team

Welcome to the RStudio weblog! We’ll use the weblog to talk about both the product and its features as well as broader issues that concern the R community. Read more →

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