Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
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Books on R

This book does not attempt to be an introduction to using R. Some basic familiarity with R will be gained through our travels in data mining using the Rattle interface and illustrating the underlying R commands. In this respect, most of what we need to know about R is contained within the book. But there is much more to learn about R and it's associated packages.

There is a rapidly growing library of books available to support the user of R. Any list will be out of date as soon as it is created, but we do list and comment on here a number of books that provide entré to R.

A good starting point for handling data in R is Data Manipulation with R by (). The book covers the basic data structures, reading and writing data, and subscripting, manipulating, aggregating, and reshaping data.

Dalgaard is then a good introduction to statistics using R, while Venables and Ripley is extensive. Hastie et al is then a comprehensive treatise of the statistical approach to machine learning.

If you are coming to R from a SAS or SPSS background then R for SAS and SPSS Users by () is a good choice. Even if you are not a SAS or SPSS user the book provides a straightforward introduction to using R.

For sophisticated presentation graphics Lattice by () covers the extensive capabilities of one of the premier plotting packages available for R, the lattice package.

Books for specialist areas include: Bivand et al.

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