An introduction to R language. Numbers and Vectors. Objects, their modes and attributes. Ordered and unordered factors. Arrays and Matrices. List and Data frames. Grouping, loops and conditional execution. Writing functions. Statistical models in R. Kernel Density Estimation using R. Graphical Procedures in R. Bookstrap & Re-sampling.
Principles of good Graphics. Video Presentation of Hans Rosling. History of statistical Graphs. Traditional Statistical Graphs. An introduction to R graphics. Trellis Graphs. Bubble Plot. Graphing Categorical Data using Mondrian. Graphing of 3 Dimensional Data in R.