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The annual worldwide user conference useR! 2014 is underway at UCLA, beginning with a full day of tutorials. This year's useR! conference is a record-breaker with more than 700 attendees, so most of the tutorial sessions have been jam-packed. The tutorials cover a diverse array of R applications: data management, visualization, statistics and biostatistics, programming, and interactive applications. Follow the links below for more details about the packages and methods covered — some authors have already provided slides for their tutorials (and those that haven't probably will soon). 

• Applied Predictive Modeling in R, Max Kuhn
• Interactive graphics with ggvis, Winston Chang
• Dynamic Documents with R and knitr, Yihui Xie
• C++ and Rcpp11 for beginners, Romain Francois
• Managing Data with R, Bob Muenchen
• Introduction to data.table, Matt Dowle
• Applied Spatial Data Analysis with R, Virgilio Gomez Rubio
• Bioconductor, Martin Morgan
• Data manipulation with dplyr, Hadley Wickham
• Interactive data display with Shiny and R, Garrett Grolemund
• Programming with Big Data in R, Drew Schmidt
• Graphical Models and Bayesian Networks with R, Søren Højsgaard
• Nonlinear parameter optimization and modeling in R [slides], John Nash
• An Example-Driven Hands-on Introduction to Rcpp, Dirk Eddelbuettel
• Interactive Documents with R, Ramnath Vaidyanathan
• Simulating differential equation models in R, Thomas Petzoldt

useR! 2014: Tutorials

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