This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

Nicholas Horton

Amherst College
Professor of Statistics and Data Science
Amherst, MA

I'm interested in statistics and data science education at the undergraduate and associates level as well as data science pathways from K-12 to college/university.

8:00am PDT

Registration check-in McCaw Hall

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Effective Shiny Programming (Part 2) 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

11:24am PDT

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

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

Integrated R labs for high school students 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 mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

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

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

ETL for medium data SIEPR 130

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

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

1:36pm PDT

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

2:30pm PDT

Time Flies - Use R to Analyze the Changing Airline Industry Sponsor Pavilion Web-based automated personalized homework with WebWork and R Sponsor Pavilion

4:30pm PDT

Cruise & Conference Dinner 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

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