These sets of exercises have been designed for use with various
courses on R.  Sets XII - XVI were designed for use with the ANU
Math3346 "data mining" course.  The pdf file r-exercises.pdf has a pdf
of all exercises.  R scripts (.R) are in the subdirectory scripts.
Sweave files, which when processed through R's function Sweave()
generate the LaTeX sources for the separate sets of exercises, are in
the subdirectory Sweave. (The README-Sweave.txt file in that
subdirectory has further details.)

I R Basics: rbasics
II Practice with R: rpractice
III Informal and Formal Data Exploration: rexplore-data
IV *Examples that Extend or Challenge
V Data Summary - Traps for the Unwary: r-traps 
VI Populations & Samples - Theoretical & Empirical Distributions: rpops-samples
VII Informal Uses of Resampling Methods
VIII Sampling Distributions, & the Central Limit Theorem: rsamplingDists 
IX Linear Models - with Covariates Entering Linearly: r-lm
X Extending the Linear Model: r-exploitlm
XI Multi-level Models: r-mlm 
XII Linear Discriminant Analysis vs Random Forests : rdiscrim-lda 
XIII Discriminant Methods & Associated Ordinations: rdiscrim-ord
XIV Ordination: r-ordination 
XV Trees, SVM, and Random Forest Discriminants: rdiscrim-trees
XVI Data Exploration and Discrimination - Largish Dataset: r-largish 
Appendix A: Use of the Sweave (.Rmw) Exercise Files