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BF

Benedicte Fontez

MONTPELLIER SUPAGRO

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

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

10:30am PDT

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

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

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

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

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

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

Integrated R labs for high school students SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

Differential equation-based models in R: An approach to simplicity and performance SIEPR 120

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

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120 The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:48am PDT

Dynamic Data in the Statistics Classroom Barnes & McDowell & Cranston

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am PDT

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

11:25am PDT

Outlier Detection Methods Econ 140

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130