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RStudio has teamed up with Datacamp to create a new, interactive way to learn dplyr. Dplyr is an R package that provides a fast, intuitive way to transform data sets with R. It introduces five functions, optimized in C++, that can handle ~90% of data manipulation tasks. These functions are lightning fast, which lets you accomplish more things—with more data—than you could otherwise. They are also designed to be intuitive and easy to learn, which makes R more user friendly. But this is just the beginning. Dplyr also automates groupwise operations in R, provides a standard syntax for accessing and manipulating database data with R, and much more.
In the course, you will learn how to use dplyr to
filter()observations from your data in a targeted way
arrange()observations within your data set by value
- derive new variables from your data with
- create summary statistics with
- perform groupwise operations with
- use the dplyr syntax to access data stored in a database outside of R.
You will also practice using the
tbl data structure and the new pipe operator in R, %>%.
The course is taught by Garrett Grolemund, RStudio’s Master Instructor, and is organized around Datacamp’s interactive interface. You will receive expert instruction in short, clear videos as you work through a series of progressive exercises. As you work, the Datacamp interface will provide immediate feedback and hints, alerting you when you do something wrong and rewarding you when you do something right. The course is designed to take about 4 hours and requires only a basic familiarity with R.
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!
Registration is now open for the next Master R Development workshop led by Hadley Wickham, author of over 30 R packages and the Advanced R book. The workshop will be held on January 19 and 20th in the San Francisco bay area.
The workshop is a two day course on advanced R practices and package development. You’ll learn the three main paradigms of R programming: functional programming, object oriented programming and metaprogramming, as well as how to make R packages, the key to well-documented, well-tested and easily-distributed R code.
To learn more, or register visit rstudio-sfbay.eventbrite.com.
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.