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.

Marcel Ramos

CUNY School of Public Health
Associate Researcher
New York, NY

waldronlab.github.io/

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Campbell Rehearsal Hall

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:15pm PDT

Coffee Break 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

5:20pm PDT

Discussion 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

Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud Lane & Lyons & Lodato

10:48am PDT

Compiling parts of R using the NIMBLE system for programming algorithms Barnes & McDowell & Cranston

11:06am PDT

R/qtl: Just Barely Sustainable Lane & Lyons & Lodato

11:24am PDT

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

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

Covr: Bringing Code Coverage to R Econ 140 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

A Future for R Econ 140

5:57pm PDT

Rethinking R Documentation: an extension of the lint package Econ 140

6:30pm PDT

Welcome Reception Bing Concert Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

An embedded domain-specific language for ODE-based drug-disease modeling and simulation Lane & Lyons & Lodato

11:24am PDT

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

11:42am PDT

Multivoxel Pattern Analysis of fMRI Data Lane & Lyons & Lodato Phylogenetically informed analysis of microbiome data using adaptive gPCA in R Barnes & McDowell & Cranston

1:00pm PDT

Run-time Testing Using assertive SIEPR 130 R at Google Lane & Lyons & Lodato

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

1:36pm PDT

Extending CRAN packages with binaries: x13binary SIEPR 130

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle 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