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YM

Young Moon

Syracuse University

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130

12:00pm PDT

Lunch SIEPR 130

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:15pm PDT

Coffee Break Barnes

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? 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

R in machine learning competitions McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Transforming a museum to be data-driven using R McCaw Hall

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

Teaching R to 200 people in a week SIEPR 130

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Teaching statistics to medical students with R and OpenCPU Sponsor Pavilion Using R with Taiwan Government Open Data to create a tool for monitor the city's age-friendliness Sponsor Pavilion Video Tutorials in Introductory Statistics Instruction Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny 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

5:03pm PDT

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

5:21pm PDT

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

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert 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

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:06am PDT

Calculation and economic evaluation of acceptance sampling plans Barnes & McDowell & Cranston

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

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

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston

1:36pm PDT

GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

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

2:30pm PDT

Approaches to R education in Canadian universities Sponsor Pavilion Data Quality Profiling - The First Step with New Data Sponsor Pavilion Developing R Tools for Energy Data Analysis Sponsor Pavilion Monitoring nonlinear profiles with R: an application to Quality Control Sponsor Pavilion Reproducible research works_with_R Sponsor Pavilion

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

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

10:40am PDT

Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:08am PDT

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

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130 Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:25am PDT

Outlier Detection Methods Econ 140

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Estimating causal dose response functions using the causaldrf R package McCaw Hall

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:10pm PDT

Scalable semi-parametric regression with mgcv package and bam procedure SIEPR 130

1:20pm PDT

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

1:25pm PDT

Weather Alerts Data with R SIEPR 130

1:35pm PDT

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