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RStudio is planning a new Master R Developer Workshop to be taught by Hadley Wickham in the San Francisco Bay Area on January 19-20. This will be the same workshop that Hadley is teaching in September in New York City to a sold out audience.
If you did not get a chance to register for the NYC workshop but wished to, consider attending the January Bay Area workshop. We will open registration once we have planned out all of the event details. If you would like to be notified when registration opens, leave a contact address here.
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!
R Markdown is a framework for writing versatile, reproducible reports from R. With R Markdown, you write a simple plain text report and then render it to create polished output. You can:
- Transform your file into a pdf, html, or Microsoft Word document—even a slideshow—at the click of a button.
- Embed R code into your report. When you render the file, R will run the code and insert its results into your report. Use this feature to add graphs and tables to your report: if your data ever changes, you can update your figures by re-rendering the report.
- Make interactive documents and slideshows. Your report becomes interactive when you embed Shiny code.
You’ll learn how to
- Use R Markdown to create reproducible, dynamic reports. R Markdown offers one of the most efficient workflows for writing up your R results.
Create interactive documents and slideshows by embedding Shiny elements into an R Markdown report. The Shiny + R Markdown combo does more than just enhance your reports; R Markdown provides one of the quickest ways to make light weight Shiny apps.
Take advantage of RStudio’s built in features that support R Markdown
Learn more at shiny.rstudio.com/articles
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
RStudio will teach the new essentials for doing data science in R at this year’s Strata NYC conference, Oct 15 2014.
R Day at Strata is a full day of tutorials that will cover some of the most useful topics in R. You’ll learn how to manipulate and visualize data with R, as well as how to write reproducible, interactive reports that foster collaboration. Topics include:
9:00am – 10:30am
A Grammar of Data Manipulation with dplyr
Speaker: Hadley Wickham
11:00am – 12:30pm
A Reactive Grammar of Graphics with ggvis
Speaker: Winston Chang
1:30pm – 3:00pm
Analytic Web Applications with Shiny
Speaker: Garrett Grolemund
3:30pm – 5:00pm
Reproducible R Reports with Packrat and Rmarkdown
Speaker: JJ Allaire & Yihui Xie
The tutorials are integrated into a cohesive day of instruction. Many of the tools that we’ll cover did not exist six months ago, so you are almost certain to learn something new. You will get the most out of the day if you already know how to load data into R and have some basic experience visualizing and manipulating data.
Not available on October 15? Check out Hadley’s Advanced R Workshop in New York City on September 8 and 9, 2014.
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’ve redesigned our training pages to make it even easier for you to learn R or Shiny. Visit our new training web page, www.rstudio.com/training, to see:
- A curated list of free materials for learning R. We think that these are some of the most helpful resources on the web. They would make an effective starting place if you want to improve your R skills.
- Announcements for upcoming RStudio public workshops, like the Introduction to R course that we’re holding on April 28 & 29 in San Francisco.
- A database of well known R instructors, who can provide on-site — as well as online — R training.
- Links to the new Shiny Dev Center, which includes articles, examples, and a tutorial, all designed to help you master Shiny.
- Links to the preview sites for R Markdown, an easy option for writing reproducible reports with R, and ggvis, an R package that creates interactive plots with the grammar of graphics.
- Links to books that we have written (or are writing) about R and its tools.
Why are we so excited about training? We think that learning R and Shiny is the best investment that a data user can make. These two free tools can streamline how you analyze data and deliver results. Browse through the links at www.rstudio.com/training and see for yourself.
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’re pleased to announce two upcoming in-person training opportunities:
- Advanced R programming. SF, Dec 16-17.Learn the most important topics from advanced R programming in person. One day one, you’ll learn about metaprograming, functional programming and object oriented programming in R, as well general best practices for programming. Taught by Hadley Wickham, RStudio’s Chief Scientist.
- Public workshop. Boston, Jan 27-28.In this two-day workshop, you’ll get a comprehensive introduction to R, and you’ll be visualising, manipulating and modeling data in no time. Taught by Garrett Grolemund, RStudio Master Instructor
We have discounts available for students (66%) and academics (33%). Please contact Josh Paulson for details.