Skip to main content
Make Data Work
Oct 15–17, 2014 • New York, NY

R Day

Hadley Wickham (Rice University / RStudio), Winston Chang (RStudio), Garrett Grolemund (RStudio), Joseph Allaire (Rstudio, Inc.), Yihui Xie (RStudio, Inc.)
9:00am–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 E16/ 1 E17
Average rating: *****
(5.00, 10 ratings)

From advanced visualization, collaboration, reproducibility to data manipulation, R Day at Strata covers a raft of current topics that analysts and R users need to pay attention to. The R Day tutorials come from leading luminaries and R committers, the folks keeping the R ecosystem apace of the challenges facing analysts and others who work with data.

9:00am – 10:30am
A Grammar of Data Manipulation with dplyr
Speaker: Hadley Wickham

Learn how to manipulate your data, large or small, with dplyr. Dplyr provides a concise syntax that makes it easy to express common data manipulation operations. It also works with multiple backends so that you can work with your data wherever it lives, in memory (data frames and data tables), in a RDBMS (postgresql, mysql,…) or in a columnar data store (redshift, bigquery, MonetDB)

11:00am – 12:30pm
A Reactive Grammar of Graphics with ggvis
Speaker: Winston Chang

With ggvis, you can easily create reactive graphics to help you understand your data. Ggvis is the big brother of ggplot2, starting from a declarative grammar of graphics, taking it to the web, and making it easy to build interactive and dynamic graphics.

1:30pm – 3:00pm
Analytic Web Applications with Shiny
Speaker: Garrett Grolemund

If a data analysis falls in a forest, does anyone hear it? Communication is an essential component of the data science process, and shiny allows you to move beyond static reports to easily build interactive web applications.

3:30pm – 5:00pm
Reproducible R Reports with Packrat and Rmarkdown
Speaker: JJ Allaire & Yihui Xie

Most data science is done in a team, and being able to easily share and reproduce artifacts is crucial. The new packrat package automatically captures the dependencies of your code when you run it, making sure that you can exactly reproduce results in the future. The rmarkdown package makes it easy to generate reproducible reports, intermingling text and code.

Photo of Hadley Wickham

Hadley Wickham

Rice University / RStudio

Hadley Wickham is Chief Scientist at RStudio and an Adjunct Professor at Rice University. He is an active member of the R community, has written and contributed to over 40 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualisation. His research focusses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualisation to better understand data and models.

Photo of Winston Chang

Winston Chang


Winston is a software engineer at RStudio, and holds a Ph.D. in Psychology from Northwestern University. He is a developer for the ggplot2, devtools, shiny, and ggvis packages, and is the author of R Graphics Cookbook, published by O’Reilly Media.

Photo of Garrett Grolemund

Garrett Grolemund


Garrett Grolemund is the editor-in-chief of, the development center for the Shiny R package, and is the author of Hands-On Programming with R as well as Data Science with R, a forthcoming book by O’Reilly Media. Garrett works as a data scientist and chief instructor for RStudio, Inc.

Photo of Joseph Allaire

Joseph Allaire

Rstudio, Inc.

JJ Allaire is a software engineer and entrepreneur who has created a wide variety of products including ColdFusion, Windows Live Writer, Lose It!, and RStudio.

Photo of Yihui Xie

Yihui Xie

RStudio, Inc.

Yihui Xie got his PhD from the Department of Statistics, Iowa State University. He is interested in interactive statistical graphics, statistical computing, and web applications. He is an active R user and the author of several R packages, such as animation, formatR, Rd2roxygen, and knitr, among which the animation package won the 2009 John M. Chambers Statistical Software Award (ASA). He is also the author of the book “Dynamic Documents with R and knitr”. In 2006 he founded the “Capital of Statistics” (, which has grown into a large online community on statistics in China. He initiated the first Chinese R conference in 2008 and has been organizing R conferences in China since then. During his PhD training at the Iowa State University, he won the Vince Sposito Statistical Computing Award (2011) and the Snedecor Award (2012) in the Department of Statistics.

Comments on this page are now closed.


Kathy Yu
10/16/2014 1:40pm EDT

If you registered for the All-Access Pass, you’ll get the Complete Video Compilation as a part of your registration. This is also available for sale a few weeks after the conference (if you didn’t get the AAP).

Roydon Pereira
10/16/2014 7:45am EDT

Is this session recorded and will be available later ?

Picture of Hadley Wickham
Hadley Wickham
10/15/2014 12:27pm EDT

You can get all code, data and slides for the day from

Shige Song
10/13/2014 5:06am EDT

Will there be handouts? Some of my colleagues wanted to come but couldn’t make it. It will be great if I can bring something back to them. Our department is making the transition from Stata to R.

Hadley, looks like you forgot to include the “rmarkdown” package in your recommended list. Does not matter though because there probably will be wifi available in the hotel.

Looking forward to seeing you all!


Picture of Hadley Wickham
Hadley Wickham
10/10/2014 3:28am EDT

All the sessions will be hands on – I recommend making sure you have a recent version of R and Rstudio, and then running install.packages(c(“dplyr”, “ggvis”, “knitr”, “shiny”))

Picture of peter goldey
peter goldey
10/10/2014 3:18am EDT

To the extent any of the sessions are hands-on, is there a set of software / packages recommended for pre-installation?