These files are support material for the course Data Mining: a practical perspective From the set of courses Advanced Statistics and Data Mining Summerschool http://biocomp.cnb.csic.es/~coss/Docencia/ADAM/ADAM.htm They correspond to: - day 2: Prediction - day 3: Classification. Each folder contains a Power Point presentation and a collection of R scripts to reproduce the results. URL for packages needed in the examples: http://cran.r-project.org/web/packages/faraway/index.html http://cran.r-project.org/web/packages/ElemStatLearn/index.html http://cran.r-project.org/web/packages/VR/index.html http://cran.r-project.org/web/packages/mvnormtest/index.html http://cran.r-project.org/web/packages/randomForest/index.html http://cran.r-project.org/web/packages/e1071/index.html http://cran.r-project.org/web/packages/rpart/index.html This is a tutorial on R filled with examples that I found very useful http://zoonek2.free.fr/UNIX/48_R/all.html This book I used as a reference for this tutorials, it's one of the best I've read on the subject. There is a free version in PDF that you can check out before you buy it. http://www-stat.stanford.edu/~tibs/ElemStatLearn/