Tutorials

Morning

9:00-12:30
(coffee break: 10:30-11:00)

• Douglas Bates: Mixed models in R using the lme4 package Full ! (Room R2)
• Dirk Eddelbuettel: Introduction to High-Performance Computing with R  (Room R1)
• Frank E Harrell Jr: Regression Modeling Stategies using the R Design Package   (Room R4)
• Sebastien Lê, Jérôme Pagès & Marine Cadoret: From multivariate to multiway data analysis...an overview (Room Senso)
• Thomas Lumley: Regression on large data sets: big(g)lm and other approaches (Room D1)
• Erich Neuwirth: R in spreadsheets, RExcel and a little bit of ROO (Room R5)
• Antony Unwin: Graphical Exploratory Data Analysis (Room D2)
• Jing Hua Zhao: Genome-wide Association Studies (Room D3)

• Thomas Baier:  Embedding R in Custom and Standard Applications (Room R5)
• Karim Chine: A federative, collaborative and R-based platform for e-Science, an overview (Room Senso)
• Andrea S. Foulkes: Applied Statistical Genetics with R (Room R1)
• Frank E Harrell Jr: Statistical Presentation Graphics Full ! (Room R2)
• Thomas Lumley: Survey analysis in R (Room D1)
• Heather Turner and David Firth: Introduction to Generalized Nonlinear Models in R (Room R4)
• Hadley Wickham: Analysing large data with many models (Room D3)
• Simon Wood: GAMs and other smooth GLMs with R (Room D2)