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.
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.
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.
Garrett Grolemund is the editor-in-chief of shiny.rstudio.com, 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.
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.
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” (http://cos.name), 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.
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