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Matthew Nelson

City of San Diego
Marine Biologist
San Diego, California

I useR to develop statistical tools for analyzing and visualizing marine biological data. As a member of the Environmental Monitoring and Technical Services section of the Public Utilities Department, I help provide database, GIS, and analytical support to a dynamic team of marine biologists. Additionally, I identify benthic marine invertebrates, specifically polychaetes, to aid in the evaluation of environmental conditions offshore.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130

10:15am PDT

Coffee Break SIEPR 120

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130

12:00pm PDT

Lunch SIEPR 130

1:00pm PDT

Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:15pm PDT

Coffee Break McDowell & Cranston

2:30pm PDT

Understanding and creating interactive graphics (Part 2) McDowell & Cranston

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

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

Taking R to new heights for scalability and performance SIEPR 130

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

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm PDT

Teaching R to 200 people in a week SIEPR 130

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. 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

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

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

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

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

OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston

11:06am PDT

Calculation and economic evaluation of acceptance sampling plans Barnes & McDowell & Cranston

11:24am PDT

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

11:42am PDT

Phylogenetically informed analysis of microbiome data using adaptive gPCA in R Barnes & McDowell & Cranston

11:45am PDT

Automated risk calculation in clinical practice and research - the riskscorer package SIEPR 120

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall R at Google Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R 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 Encounters of the Chinook kind: visualizing fish movement with R Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

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

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130

11:42am PDT

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

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall

1:40pm PDT

Let's meet on satRday! McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall