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Albert Y. Kim

Middlebury College
Assistant Professor of Statistics
Middlebury VT

rudeboybert.github.io/

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Small Area Estimation with R (Part 1) Lane

10:30am PDT

Small Area Estimation with R (Part 2) Lane

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall Using R with Jupyter notebooks for reproducible research (Part 1) SIEPR 120

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall Using R with Jupyter notebooks for reproducible research (Part 2) SIEPR 120

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

10:30am PDT

R in machine learning competitions McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

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

3:30pm PDT

Literate Programming McCaw Hall

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database (BAAD) Econ 140

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

10:30am PDT

Importing modern data into R SIEPR 130 Profvis: Profiling tools for faster R code Econ 140

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

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

11:24am PDT

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

1:36pm PDT

Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

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

2:30pm PDT

Reproducible research works_with_R Sponsor Pavilion Web-based automated personalized homework with WebWork and R Sponsor Pavilion

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 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

10:48am PDT

Authoring Books with R Markdown McCaw Hall Dynamic Data in the Statistics Classroom Barnes & McDowell & Cranston Practical tools for exploratory web graphics SIEPR 130

11:30am PDT

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

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130 Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston