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Sonia V. Smith

Unaffiliated
Software Engineer
Reston, VA, USA

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Small Area Estimation with R (Part 1) Lane

10:15am PDT

Coffee Break Barnes

10:30am PDT

Small Area Estimation with R (Part 2) Lane

12:00pm PDT

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

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

1:18pm PDT

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

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Integrating R & Tableau Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

Reusable R for automation, small area estimation and legacy systems Barnes & McDowell & Cranston

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

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

2:12pm PDT

Using R in a regulatory environment: FDA experiences. 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

10:48am PDT

Practical tools for exploratory web graphics SIEPR 130

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:26am PDT

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

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall