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AK

Anna Khazenzon

Stanford

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Integrated R labs for high school students SIEPR 130 Transforming a museum to be data-driven using R McCaw Hall

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark Lane & Lyons & Lodato

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion Using R in the evaluation of psychological tests 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

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato 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 Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

Rho: High Performance R McCaw Hall RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw 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 Notebooks with R Markdown McCaw Hall

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:24am PDT

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

11:30am PDT

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:42am PDT

Multivoxel Pattern Analysis of fMRI Data Lane & Lyons & Lodato

1:00pm PDT

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

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:40pm PDT

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

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130 The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

ALZCan: Predicting Future Onset of Alzheimer's Using Gender, Genetics, Cognitive Tests, CSF Biomarkers, and Resting State fMRI Brain Imaging Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston

11:25am PDT

Outlier Detection Methods Econ 140

11:30am PDT

gtfsr: A package to make transit system analysis easy Econ 140

11:42am PDT

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

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130