RStudio Connect 1.6.8 - Emails, APIs, and Titles

2018-09-20 Sean Lopp
RStudio Connect 1.6.8 includes additions to custom emails, new user endpoints in the RStudio Connect Server API, support for content descriptions and title changes, and important security and authentication improvements. Updates R Markdown Reports have access to environment variables containing metadata about the report on RStudio Connect. This addition is especially important for custom emails. In case you missed it, recent versions of RStudio Connect allow data scientists to distribute beautiful emails that can include plots, tables, and dynamically generated text. Read more →

Radix for R Markdown

2018-09-19 JJ Allaire
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Today we’re excited to announce Radix, a new R Markdown format optimized for scientific and technical communication. Features of Radix include: Reader-friendly typography that adapts well to mobile devices. Flexible figure layout options (e.g. displaying figures at a larger width than the article text). Tools for making articles easily citeable, as well as for generating Google Scholar compatible citation metadata. The ability to incorporate JavaScript and D3-based interactive visualizations. Read more →

Deadline extended for rstudio::conf(2019) abstract submissions

2018-09-14 Hadley Wickham
rstudio::conf, the conference on all things R and RStudio, will take place January 17 and 18, 2019 in Austin, Texas, preceded by Training Days on January 15 and 16. We’ve received requests from a number of you for permission to submit talk/e-poster abstracts after the deadline (this Saturday, September 15). In response, we’re extending the deadline by a week for everyone; the new submission deadline is September 22, a week from Saturday. Read more →

Getting started with deep learning in R

2018-09-12 Sigrid Keydana
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There are good reasons to get into deep learning: Deep learning has been outperforming the respective “classical” techniques in areas like image recognition and natural language processing for a while now, and it has the potential to bring interesting insights even to the analysis of tabular data. For many R users interested in deep learning, the hurdle is not so much the mathematical prerequisites (as many have a background in statistics or empirical sciences), but rather how to get started in an efficient way. Read more →

Shiny Server (Pro) 1.5.8

2018-09-04 Joe Cheng
Shiny Server 1.5.8.921 and Shiny Server Pro 1.5.8.985 are now available. This release includes support for listening on IPv6 addresses. It also fixes issues with servers that have home directories mounted over NFS with root_squash, and with networks that use double-bind LDAP with restrictive permissions on user accounts. Finally, this release changes the default SSL/TLS configuration in Shiny Server Pro to remove support for the obsolete and insecure TLSv1 protocol. Read more →

rstudio::conf(2019) contributed talks & e-posters

2018-08-20 Hadley Wickham
rstudio::conf, the conference on all things R and RStudio, will take place January 17 and 18, 2019 in Austin, Texas, preceded by Training Days on January 15 and 16. We are pleased to announce that this year’s conference includes contributed talks and e-posters! There are fifteen contributed talk slots which are 20 minutes long, and are scheduled alongside talks by RStudio employees and invited speakers. We expect most talks to be attended by 400+ people, and are looking for interesting topics and engaging speakers. Read more →

R/Medicine Conference

2018-08-13 Joseph Rickert
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We are less than one month away from the R/Medicine conference! Tickets are still available to connect with the R users who are advancing the way we think about human health. The goal of the R/Medicine conference is to promote the use of the R programming environment and the R ecosystem in medical research and clinical practice. In addition to showcasing novel tools, algorithms and methods for analyzing medical and clinical data, we hope the conference will provide a forum for collaboration within the community. Read more →

rstudio::conf(2019) diversity scholarships

2018-08-10 Hadley Wickham
rstudio::conf(2019) continues our tradition of diversity scholarships, and this year we’re doubling the program (again!) to 38 recipients: 32 domestic diversity scholarships available to anyone living in the US or Canada who is a member of a group that is under-represented at rstudio::conf. 6 international scholarships available to residents of Africa, South or Central America, or Mexico. Both groups will receive complementary conference and workshop registration, and funds for travel and accommodation (up to $1000 for domestic candidates and $3000 for international). Read more →

What they forgot to teach you about R

2018-08-07 Roger Oberg
Join Jenny Bryan and Jim Hester of RStudio for this two-day hands-on workshop designed for experienced R and RStudio users who want to (re)design their R lifestyle! If you’d missed this sold out course at rstudio::conf 2018 now is your chance. Register here: https://www.rstudio.com/workshops/what-they-forgot-to-teach-you-about-r/ In this workshop you’ll learn holistic workflows that address the most common sources of friction in data analysis. We’ll work on project-oriented workflows, version control for data science (Git/GitHub! Read more →

rstudio::conf 2019 is open for registration!

2018-07-31 Roger Oberg
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rstudio::conf, the conference for all things R and RStudio, will take place January 17 and 18, 2019 (Thursday and Friday) in Austin, Texas. It will be preceded by Training Days on January 15 and 16 (Tuesday and Wednesday). Early Bird registration is now open! Conference: Thursday January 17 - Friday January 18, 2019 Join host and RStudio Chief Scientist Hadley Wickham along with keynote speakers David Robinson, Chief Data Scientist at DataCamp; Felienne Herman, assistant Professor at Delft University of Technology, founder of Infotron, teacher of Lego Mindstorm, co-founder of the Joy of Programming conference and a host of Software Engineering Radio; and Joe Cheng, RStudio CTO and creator of Shiny and RPubs, to explore the state of the art and future of data science. Read more →