Talks 📝

• Session Recordings
  UseR! 2016

• Towards a grammar of interactive graphics 📹 
  Hadley Wickham   ggplot2 

• FiveThirtyEight's data journalism workflow with R 📹 
  Andrew Flowers   data journalism 

• Forty years of S 📹 
  Richard Becker   history 

• jailbreakr: Get out of Excel, free 📹 
  Jenny Bryan   jailbreakr 

• Notebooks with R Markdown 📹 
  J.J. Allaire   notebook 

• Teaching R to 200 people in a week 📹 
  Michael Andrew Levy   teach 

• Heatmaps in R: Overview and best practices 📹 
  Tal Galili   heatmaps 

• Happy Git and GitHub for the useR
  Jenny Bryan   git gitHub 

• Machine Learning Algorithmic Deep Dive
  Erin LeDell   h2o machine learning 

• Extracting data from the web APIs and beyond
  Karthik Ram, Garrett Grolemund, Scott Chamberlain   web 

• MoRe than woRds, Text and Context: Language Analytics in Finance with R
  Sanjiv R. Das, Karthik Mokashi   finance 

• Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution
  Tess Calvez   marketing analytics 

• Never Tell Me the Odds! Machine Learning with Class Imbalances
  Max Kuhn   predictive model class imbalances 

• Genome-Wide Association Analysis and Post-Analytic Interrogation with R
  Andrea S. Foulkes   genome 

• Effective Shiny Programming
  Joe Cheng   shiny 

• Handling and Analyzing Spatial, Spatiotemporal and Movement Data
  Edzer Pebesma   spatial 

• Regression Modeling Strategies and the rms Package
  Frank E. Harrell Jr.   rms regression 

• Intermediate R Markdown tutorial
  Yihui Xie   r markdown 

• Using R with Jupyter Notebooks for Reproducible Research
  Andrie de Vries and Micheleen Harris   jupyter 

• shinyjs: improve the user experience in your Shiny apps by Dean Attali
  Dean Attali   shiny 

• rbokeh - A Simple, Flexible, Declarative Framework for Interactive Graphics 📹 
  Ryan Hafen   graphics 

• Practical tools for exploratory web graphics 📹 
  Carson Sievert   graphics 

• Chicago food inspection data analysis 📹 
  Gene Leynes   data analysis chicago 

• Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny 📹 
  Rachel Lynne Wilkerson   shiny 

• Automated Clinical Research Tracking and Assessment Using R-Shiny
  Hao Zhu   shiny 

• Wrap your model in an R package! 📹 
  Michael Rustler   package 

• Fry: A Fast Interactive Biological Pathway Miner 📹 
  Göknur Giner   biological pathway miner 

• Broom: Converting Statistical Models to Tidy Data Frames 📹 
  David Robinson   tidy data frames 

• Data validation infrastructure: the validate package
  Mark Van Der Loo   validate 

• Size of Datasets for Analytics and Implications for R 📹 
  Szilárd Pafka   datasets 

• Efficient tabular data ingestion and manipulation with MonetDBLite 📹 
  Hannes Mühleisen   database 

• Importing Modern Data into R 📹 
  Javier Luraschi   data 

• Efficient in-memory non-equi joins 📹 
  Arun Srinivasan   memory data 

• flexdashboards - Easy interactive dashboards for R
  Jonathan McPherson   dashboard graphics 

• A Future for R 📹 
  Henrik Bengtsson   future 

• R AnalyticFlow 3: Interactive Data Analysis GUI for R 📹 
  Ryota Suzuki, Tatsuhiro Nagai   gui 

• A first-year undergraduate data science course 📹 
  Mine Cetinkaya-Rundel   teaching 

• Slides from Integrated R labs for high school students #user2016 talk 📹 
  Amelia McNamara   high school teaching 

• Can R learn from Julia 📹 
  Jan Vitek   julia 

• Slides and other resources for RcppParallel talk
  Kevin Ushey   rcpp 

• R Web APIs Intro
  Scott Chamberlain   http api 

• Linking htmlwidgets with crosstalk and mobservable 📹 
  Joe Cheng   shiny 

• R/qtl: Just barely sustainable 📹 
  Karl Broman   package 

• Deep learning in R using MXNet 📹 
  Qiang Kou   deep learning 

• useR! Machine Learning Tutorial
  Erin LeDell   machine learning 

• R in BI and Streaming Applications for useR 2016 📹 
  Lou Bajuk   bi streaming applications 

• xgboost: An R package for Fast and Accurate Gradient Boosting 📹 
  He Tong   xgboost boosting 

• Causal inference in social network data 📹 
  Oleg Sofrygin   causal inference 

• Simulation and power analysis of generalized linear mixed models 📹 
  Brandon LeBeau   simulation 

• mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions 📹 
  Jakob Richter   optimization 

Packages and Resources 📝

• Videos on Channel 9, Microsoft

• useR! 2016 Home Page, useR!

• The useR! 2016 Tutorials, useR!