Loading…
This event has ended. Visit the official site or create your own event on Sched.
Click here to return to main conference site. For a one page, printable overview of the schedule, see this.
CM

Christopher Mckinney

Mental Health Center of Denver
Tuesday, June 28
 

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall 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

R: The last line of defense against bad debt Econ 140 Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform SIEPR 120

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:54pm PDT

A first-year undergraduate data science course SIEPR 130 Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion Community detection in multiplex networks : An application to the C. elegans neural network Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny 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

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130 New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

6:30pm PDT

Welcome Reception Bing Concert Hall
 
Wednesday, June 29
 

10:30am PDT

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston Network Diffusion of Innovations in R: Introducing netdiffuseR McCaw Hall

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB) Econ 140 R at Google Lane & Lyons & Lodato