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Joe Cheng

RStudio, PBC
CTO
Greater Seattle Area

Joe Cheng is the Chief Technology Officer at RStudio PBC, where he helped create the RStudio IDE and Shiny web framework.

8:00am PDT

Registration check-in McCaw Hall

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:15pm PDT

Coffee Break McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Integrating R & Tableau Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion R Microplots in Tables with the latex() Function Sponsor Pavilion R Shiny Application for the Evaluation of Surrogacy in Clinical Trials Sponsor Pavilion RCAP Designer: An RCloud Package to create Analytical Dashboards Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

Covr: Bringing Code Coverage to R Econ 140 flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato R at Microsoft McCaw Hall

5:03pm PDT

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

ETL for medium data SIEPR 130 Size of Datasets for Analytics and Implications for R Econ 140

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140 Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall R at Google Lane & Lyons & Lodato

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall Tools for Robust R Packages SIEPR 130

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

Encounters of the Chinook kind: visualizing fish movement with R Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion ROSETTAHUB, the next generation data science platform Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall Practical tools for exploratory web graphics SIEPR 130

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston viztrackr: Tracking and discovering plots via automatic semantic annotations SIEPR 130

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:40am PDT

rfmt - A new formatter for R source code Econ 140

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130 Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:35pm PDT

Interact with Python from within R McCaw Hall Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

1:40pm PDT

Interactive dashboards for visual quality control of air quality data SIEPR 130

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall