Talks 📝

• useR!2017 Schedule and Slides
  useR! 2017

• Video Recordings
  useR! 2017

• Parallel Computation in R: What We Want, and How We (Might) Get It
  Norman Matloff   keynote parallel 

• Teaching data science to new useRs
  Mine Cetinkaya-Rundel   keynote teaching 

• Structural Equation Modeling: models, software and stories
  Yves Rosseel   keynote sem 

• Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R
  Ludwig Hothorn   keynote dose-response analysis 

• R tools for the analysis of complex heterogeneous data
  Isabella Gollini   keynote heterogeneous data 

• 20 years of CRAN
  Uwe Ligges   keynote cran 

• Geospatial visualization using R
  Bhaskar V. Karambelkar   tutorial geo spatial 

• Introduction to Natural Language Processing with R' Workshop at useR! 2017
  Taylor Arnold   tutorial nlp 

• Parallel computing in R
  Hana Ševčíková   tutorial hpc parallel 

• Learn about reproducbility in R
  Mine Çetinkaya-Rundel, Colin Rundel, François Michonneau, Tracy Teal   tutorial reproducbility 

• How we built a Shiny App used by 700 users?
  Olga Mierzwa-Sulima   shiny 

• shiny.collections - Google Docs-like live collaboration in Shiny
  Marek Rogala   shiny 

• implyr: a dplyr backend for Apache Impala & 10 rules for creating a dplyr SQL backend
  Ian Cook   dplyr sql 

• Spatial data in R: new directions
  Edzer Pebesma   spatial 

• Jurimetrics
  José de Jesus Filho, Julio Trecenti   package 

• Updates to the R Documentation System
  Andrew Redd   documentation 

• FFTrees - An R package to create, visualize, and evaluate fast-and-frugal decision trees
  Nathaniel Phillips   visualization 

• The R package bigstatsr: Memory- and Computation-Efficient Tools for Big Matrices
  Florian Privé   lightning package 

• Morphological Analysis with R
  Markus Voge   morphological analysis 

• Community-based learning and knowledge sharing - Teaching R within an organisation using edu package
  rOpenGov   teaching 

• Open and Reproducible Science with R
  Francois Michonneau   reproducible 

• Présentation du package 'dplyr' et de l'opérateur '%>%' (pipe)
  Bastien Tran   dplyr 

• moodler: A new R package to easily fetch data from Moodle
  Jakub Chromec, Libor Juhanak   package 

• data.table tutorial
  Arun Srinivasan   data.table 

• Helping shiny sense the world around it
  Nick Strayer   shiny 

• Interacting with databases from Shiny
  Barbara Borges Ribeiro   database 

• Introduction to parallel computing with R
  Hana Sevˇc´ıkov´a   hpc parallel 

• A introduction to purrr
  Charlotte Wickham   purrr 

• useR! abstract review: what the program committee look for
  Heather Turner   abstract review 

• Haskell, R, and HaskellR: Combining the best of two worlds
  Sigrid Keydana   ffi 

• Automatic Machine Learning in R
  Erin LeDell   machine learning 

• ompr - An alternative way to model mixed-integer linear programs
  Dirk Schumacher   package 

• Easy imputation with the simputation package
  Mark van der Loo   imputation 

• papr: Tinder for pre-prints
  Lucy D'Agostino McGowan, Nick Strayer, Jeff Leek   shiny 

• Joint profiling of native and R code
  Kirill Müller   profiling 

• Daff: diff, patch and merge for data.frame
  Edwin de Jonge   data.frame 

• R Consortium Update
  Lou Bajuk-Yorgan   organization 

• naniar: Data structures and functions for consistent exploration of missing data
  Nicholas Tierney   package missing data 

• Better Confidence Intervals for Quantiles
  Michael Höhle   confidence intervals 

• Improving DBI
  Kirill Müller   database 

• Webscraping with rvest and purrr
  Max Humber   web 

• R Then and Now
  David Smith   history 

• Interfacing Google's spherical geometry library (S2) for spatial data in R
  Ege Rubak   spatial 

Packages and Resources 📝

• useR! 2017 Survey, useR! 2017

• Photos, useR! 2017

• Live Stream, useR! 2017