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.

Arjuna Jayasinha

FileMaker
Customer Success Manager
San Francisco Bay Area

Database user: FileMaker, Oracle, Access. Looking to leverage R for customer service opportunities.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140 Small Area Estimation with R (Part 1) Lane Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes

10:15am PDT

Coffee Break McDowell & Cranston

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:15pm PDT

Coffee Break Lane

2:30pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston

4:00pm PDT

Short Break McCaw Hall

5:20pm PDT

Discussion 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

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140 R in machine learning competitions McCaw Hall

10:48am PDT

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

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140 Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140 jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

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

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston What can R learn from Julia Lane & Lyons & Lodato

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall High-performance R with FastR Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion Multi-stage Decision Method To Generate Rules For Student Retention Sponsor Pavilion Statistics and R for Analysis of Elimination Tournaments Sponsor Pavilion Video Tutorials in Introductory Statistics Instruction Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

A Future for R Econ 140 R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato

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

Importing modern data into R SIEPR 130

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:36pm PDT

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

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Data Quality Profiling - The First Step with New Data Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion

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

10:40am PDT

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

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall