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TP

Tien-chi Pan

University of Pennsylvania
Senior Data Analyst
San Francisco Bay Area

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall Introduction to SparkR (Part 1) Econ 140 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall Introduction to SparkR (Part 2) Econ 140 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130 Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud Lane & Lyons & Lodato

10:48am PDT

Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Fry: A Fast Interactive Biological Pathway Miner Lane & Lyons & Lodato

11:42am PDT

Analysis of big biological sequence datasets using the DECIPHER package Lane & Lyons & Lodato

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Applied Biclustering Using the BiclustGUI R Package Sponsor Pavilion Curde: Analytical curves detection Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Imputing Gene Expression to Maximise Platform Compatibility Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion RCAP Designer: An RCloud Package to create Analytical Dashboards Sponsor Pavilion shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

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

broom: Converting statistical models to tidy data frames McCaw Hall Data validation infrastructure: the validate package Barnes & McDowell & Cranston Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:57pm PDT

Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

11:24am PDT

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

1:18pm PDT

Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

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

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:25am PDT

Outlier Detection Methods Econ 140

11:42am PDT

Most Likely Transformations McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

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