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Are you headed to Strata? It’s just around the corner!
We particularly hope to see you at R Day on October 15, where we will cover a raft of current topics that analysts and R users need to pay attention to. The R Day tutorials come from Hadley Wickham, Winston Chang, Garrett Grolemund, J.J. Allaire, and Yihui Xie who are all working on fascinating new ways to keep the R ecosystem apace of the challenges facing those who work with data.
If you plan to stay for the full Strata Conference+Hadoop World be sure to look us up in the Innovator Pavilion booth P14 during the Expo Hall hours. We’ll have the latest books from RStudio authors and “shiny” t-shirts to win. Share with us what you’re doing with RStudio and get your product and company questions answered by RStudio employees.
See you in New York City!
The Joint Statistical Meetings (JSM) start this weekend! We wanted to let you know we’ll be there. Be sure to check out these sessions from RStudio and friends:
Sunday, August 3
- 4:00 PM: A Web Application for Efficient Analysis of Peptide Libraries: Eric Hare*+ and Timo Sieber and Heike Hofmann
- 4:00 PM: Gravicom: A Web-Based Tool for Community Detection in Networks: Andrea Kaplan*+ and Heike Hofmann and Daniel Nordman
Monday, August 4
- 8:35 AM: Preparing Students for Big Data Using R and Rstudio: Randall Pruim
- 8:55 AM: Thinking with Data in the Second Course: Nicholas J. Horton and Ben S. Baumer and Hadley Wickham
- 8:55 AM: Doing Reproducible Research Unconsciously: Higher Standard, but Less Work: Yihui Xie
- 10:30 AM: Interactive Web Application with Shiny: Bharat Bahadur
- 2:00 PM: Interactive Web Application with Shiny: Bharat Bahadur
Tuesday, August 5
- 2:00PM: Give Me an Old Computer, a Blank DVD, and an Internet Connection and I’ll Give You World-Class Analytics: Ty Henkaline
Wednesday, August 6
- 10:35 Shiny: Easy Web Applications in R:Joseph Cheng
- 11:00 AM: ggvis: Moving Toward a Grammar of Interactive Graphics: Hadley Wickham
For even more talks on R we thought Joseph Rickert’s “Data Scientists and R Users Guide to the JSM” was excellent. Click here to see it. http://blog.revolutionanalytics.com/2014/07/a-data-scientists-and-r-users-guide-to-the-jsm.html
While you’re at the conference, please come by our exhibition area (Booth #112) to say hello. J.J., Hadley and other members of the team will be there. We’ve got enough space to talk about your plans for R and how RStudio Server Pro and Shiny Server Pro can provide enterprise-ready support and scalability for your RStudio IDE and Shiny Server deployments.
We hope to see you there!
RStudio is very pleased to announce the general availability of Shiny Server Pro 1.2.
Shiny Server Pro 1.2 adds support for R Markdown Interactive Documents in addition to Shiny applications. Learn more about Interactive Documents by registering for the Reproducible Reporting webinar August 13 and Interactive Reporting webinar September 3.
We are excited about the new ways in which you can now share your data analysis in Shiny Server Pro along with the security, management and performance tuning capabilities you and your IT teams need to scale.
Uncover all the features of Shiny Server Pro 1.2 in the updated Shiny Server admin guide…then give it a try!
The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” free webinar series is the perfect place to learn more about the power of these R packages from the authors themselves.
Click to learn more and register for one or more webinar sessions. You must register for each separately. If you miss a live webinar or want to review them, recorded versions will be available to registrants within 30 days.
The Grammar and Graphics of Data Science
Live! Wednesday, July 30 at 11am Eastern Time US Click to register
- dplyr: a grammar of data manipulation – Hadley Wickham
- ggvis: Interactive graphics in R – Winston Chang
Live! Wednesday, August 13 at 11am Eastern Time US Click to register
- The Next Generation of R Markdown – Jeff Allen
- Knitr Ninja – Yihui Xie
- Packrat – A Dependency Management System for R – J.J. Allaire & Kevin Ushey
Live! Wednesday, September 3 at 11am Eastern Time US Click to register
- Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
- Shiny: R made interactive – Joe Cheng
The R User Conference 2014 is coming up fast in Los Angeles!
RStudio will be there in force to share the latest enhancements to shiny, ggvis, knitr, dplyr. R markdown, packrat and more. Here’s a quick snapshot of our scheduled sessions. We hope to see you in as many of them as you can attend!
Monday, June 30
- Interactive graphics with ggvis - Winston Chang
- Dynamic Documents with R and knitr – Yihui Xie
- Data manipulation with dplyr – Hadley Wickham
- Interactive data display with Shiny and R – Garrett Grolemund
Tuesday, July 1
Session 1 10:30 Room – Palisades
ggvis: Interactive graphics in R – Winston Chang
Session 2 13:00 Room – Palisades
Shiny: R made interactive – Joe Cheng
Session 3 16:00 Room – Palisades
dplyr: a grammar of data manipulation – Hadley Wickham
Wednesday, July 2
Session 5 16.00 Room – Palisades
Packrat – A Dependency Management System for R – J.J. Allaire
Thursday, July 3
Session 6 10:00 Room – Palisades
The Next Generation of R Markdown – J.J. Allaire
Knitr Ninja – Yihui Xie
Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
Don’t miss our table in the exhibition area during the conference. Come talk to us about your plans for R and learn how RStudio Server Pro and Shiny Server Pro can provide enterprise-ready support and scalability for your RStudio IDE and Shiny deployments.
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).
- Set the version of R that is used per application and/or per user
- Customize page templates for directory listings and error pages.
- Monitor service health and get additional metrics with a new health check endpoint.
- Provide custom environment variables to a Shiny process using Bash profiles
- Configure apps to run using the authenticated user’s account with custom environment variables from Bash or PAM
- Launch Shiny apps with a prefix command such as ‘nice’ allowing you to prioritize compute resources per application or per user
If you haven’t tried Shiny Server Pro yet, download a copy here.
Please join us for our popular Introduction to R course for data scientists and data analysts in San Francisco on April 28 and 29. This is a two-day workshop, designed to provide a comprehensive introduction to R that will have you analyzing and modeling data with R in no time. We will cover practical skills for visualizing, transforming, and modeling data in R. You will learn how to explore and understand data as well as how to build linear and non-linear models in R.
The course will be led by RStudio Master Instructor and author Dr. Garrett Grolemund.
We offer introductory R training only a few times a year. The Boston course in January sold out quickly. Space is limited. We encourage you to register (rstudio-sfbay.eventbrite.com) as soon as you can.
“The instructor was amazing. He knew so much and could answer any questions. His expertise was obvious and he was also very clear about how to explain it to a varied audience.” – Workshop Student, January 2014
“Very well organized and at a good pace. The example datasets were very helpful. Excellent teachers!” – Workshop Student, January 2014
We are excited to announce the general availability of RStudio Shiny Server Pro.
Shiny Server Pro is the simplest way for data scientists and R users in the enterprise to share their work with colleagues. With Shiny Server Pro you can:
- Secure access to Shiny applications with authentication systems such as LDAP and Active Directory
- Configure a Shiny application to use more than one process
- Control the number of concurrent users per application
- Gain insight into your applications’ CPU and memory use
- Get help directly from our team at RStudio
If you’re interested in finding out more, download a free 45 day evaluation here.