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KS

Kwangshi Shu

janssen pharmaceuticals
Senior Scientist
Titusville, NJ

Software developer for more than 20 years. Currently working as Statistical Programmer.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130 Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:15am PDT

Coffee Break SIEPR 130

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130 Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

12:00pm PDT

Lunch SIEPR 130

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall Understanding and creating interactive graphics (Part 1) McDowell & Cranston Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:15pm PDT

Coffee Break McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall Understanding and creating interactive graphics (Part 2) McDowell & Cranston

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

8:00am PDT

Registration check-in 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

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 jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

Wrap your model in an R package! SIEPR 120

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Integrating R & Tableau Sponsor Pavilion R Shiny Application for the Evaluation of Surrogacy in Clinical Trials Sponsor Pavilion shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny 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

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

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

Rho: High Performance R McCaw Hall RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall Profvis: Profiling tools for faster R code Econ 140

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:45am PDT

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato Size of Datasets for Analytics and Implications for R Econ 140

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

10:55am PDT

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130 Grid Computing in R with Easy Scalability Econ 140

11:35am PDT

R's Role in Healthcare Data: Exploration, Visualization and Presentation SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall Run-time Testing Using assertive SIEPR 130

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120 The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Coffee Break with Poster Session McCaw Hall

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits 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

10:35am PDT

Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST) Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall Dynamic Data in the Statistics Classroom Barnes & McDowell & Cranston

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

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