Talks 📝

• useR!2017 Schedule and Slidesuser2017.sched.com ( user2017.sched.com ) 
  useR! 2017

• Video Recordingschannel9.msdn.com ( channel9.msdn.com ) 
  useR! 2017

• Parallel Computation in R: What We Want, and How We (Might) Get Ituser2017.sched.com ( user2017.sched.com ) 
  Norman Matloff   keynote parallel 

• Teaching data science to new useRsgithub.com ( github.com ) 
  Mine Cetinkaya-Rundel   keynote teaching 

• Structural Equation Modeling: models, software and storiesschd.ws ( schd.ws ) 
  Yves Rosseel   keynote sem 

• Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using Rschd.ws ( schd.ws ) 
  Ludwig Hothorn   keynote dose-response analysis 

• R tools for the analysis of complex heterogeneous datauser2017.sched.com ( user2017.sched.com ) 
  Isabella Gollini   keynote heterogeneous data 

• 20 years of CRANschd.ws ( schd.ws ) 
  Uwe Ligges   keynote cran 

• Geospatial visualization using Rbhaskarvk.github.io ( bhaskarvk.github.io ) 
  Bhaskar V. Karambelkar   tutorial geo spatial 

• Introduction to Natural Language Processing with R' Workshop at useR! 2017github.com ( github.com ) 
  Taylor Arnold   tutorial nlp 

• Parallel computing in Rgithub.com ( github.com ) 
  Hana Ševčíková   tutorial hpc parallel 

• Learn about reproducbility in Rgithub.com ( github.com ) 
  Mine Çetinkaya-Rundel, Colin Rundel, François Michonneau, Tracy Teal   tutorial reproducbility 

• How we built a Shiny App used by 700 users?github.com ( github.com ) 
  Olga Mierzwa-Sulima   shiny 

• shiny.collections - Google Docs-like live collaboration in Shinygithub.com ( github.com ) 
  Marek Rogala   shiny 

• implyr: a dplyr backend for Apache Impala & 10 rules for creating a dplyr SQL backendgithub.com ( github.com ) 
  Ian Cook   dplyr sql 

• Spatial data in R: new directionsgithub.com ( github.com ) 
  Edzer Pebesma   spatial 

• Jurimetricsgithub.com ( github.com ) 
  José de Jesus Filho, Julio Trecenti   package 

• Updates to the R Documentation Systemgithub.com ( github.com ) 
  Andrew Redd   documentation 

• FFTrees - An R package to create, visualize, and evaluate fast-and-frugal decision treesndphillips.github.io ( ndphillips.github.io ) 
  Nathaniel Phillips   visualization 

• The R package bigstatsr: Memory- and Computation-Efficient Tools for Big Matricesgithub.com ( github.com ) 
  Florian Privé   lightning package 

• Morphological Analysis with Rgithub.com ( github.com ) 
  Markus Voge   morphological analysis 

• Community-based learning and knowledge sharing - Teaching R within an organisation using edu packagegithub.com ( github.com ) 
  rOpenGov   teaching 

• Open and Reproducible Science with Rgithub.com ( github.com ) 
  Francois Michonneau   reproducible 

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

• moodler: A new R package to easily fetch data from Moodlegithub.com ( github.com ) 
  Jakub Chromec, Libor Juhanak   package 

• data.table tutorialgithub.com ( github.com ) 
  Arun Srinivasan   data.table 

• Helping shiny sense the world around itgithub.com ( github.com ) 
  Nick Strayer   shiny 

• Interacting with databases from Shinygithub.com ( github.com ) 
  Barbara Borges Ribeiro   database 

• Introduction to parallel computing with Rgithub.com ( github.com ) 
  Hana Sevˇc´ıkov´a   hpc parallel 

• A introduction to purrrgithub.com ( github.com ) 
  Charlotte Wickham   purrr 

• useR! abstract review: what the program committee look forrstudio-pubs-static.s3.amazonaws.com ( rstudio-pubs-static.s3.amazonaws.com ) 
  Heather Turner   abstract review 

• Haskell, R, and HaskellR: Combining the best of two worldsrecurrentnull.wordpress.com ( recurrentnull.wordpress.com ) 
  Sigrid Keydana   ffi 

• Automatic Machine Learning in Rgithub.com ( github.com ) 
  Erin LeDell   machine learning 

• ompr - An alternative way to model mixed-integer linear programsschd.ws ( schd.ws ) 
  Dirk Schumacher   package 

• Easy imputation with the simputation packageschd.ws ( schd.ws ) 
  Mark van der Loo   imputation 

• papr: Tinder for pre-printsrstudio-pubs-static.s3.amazonaws.com ( rstudio-pubs-static.s3.amazonaws.com ) 
  Lucy D'Agostino McGowan, Nick Strayer, Jeff Leek   shiny 

• Joint profiling of native and R codekrlmlr.github.io ( krlmlr.github.io ) 
  Kirill Müller   profiling 

• Daff: diff, patch and merge for data.framewww.slideshare.net ( slideshare.net ) 
  Edwin de Jonge   data.frame 

• R Consortium Updatewww.dropbox.com ( dropbox.com ) 
  Lou Bajuk-Yorgan   organization 

• naniar: Data structures and functions for consistent exploration of missing datauser2017.sched.com ( user2017.sched.com ) 
  Nicholas Tierney   package missing data 

• Better Confidence Intervals for Quantilesstaff.math.su.se ( staff.math.su.se ) 
  Michael Höhle   confidence intervals 

• Improving DBIkrlmlr.github.io ( krlmlr.github.io ) 
  Kirill Müller   database 

• Webscraping with rvest and purrrspeakerdeck.com ( speakerdeck.com ) 
  Max Humber   web 

• R Then and Nowwww.slideshare.net ( slideshare.net ) 
  David Smith   history 

• Interfacing Google's spherical geometry library (S2) for spatial data in Ruser2017.sched.com ( user2017.sched.com ) 
  Ege Rubak   spatial 

Packages and Resources 📝

• useR! 2017 Surveynl.surveymonkey.com, useR! 2017  ( nl.surveymonkey.com ) 

• Photosuser2017.brussels, useR! 2017  ( user2017.brussels ) 

• Live Streamuser2017.brussels, useR! 2017  ( user2017.brussels )