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
Bug report: none of the links open with Ctrl-click in Google Chrome (35.0/Mac).
Posted by: Fr. | July 01, 2014 at 08:53