Books for Sta141

There is no single book that covers the entire variety of topics that we will focus on in this class. (It is that cutting-edge.) There are numerous books that cover particular subsets of the topics, especially programming in R. There are many, many resources on the Web covering different aspects of the topics at different levels. Please use these. Some of the books are also freely available on the Web and UC Davis has a site license for many additional electronic resources, e.g. the O'Reilly collection.

As you find more resources (on-line or in the library), please share them by sending a message to the mailing list.

Introduction to Data Technologies This is perhaps the book that best covers the topics we will explore. It is very good. Our class is aimed at a slightly higher level and with a bit more emphasis on data analysis. This book is available in PDF or HTML formats for free. Please use it and consider purchasing it as an excellent introduction and reference book for many topics that you will benefit greatly from knowing. The R Manuals Contributed documentation A First Course in Statistical Programming with R, W. J. Braun and D. J. Murdoch (2007) Data Manipulation with R, Phil Spector, 2008 Lattice: Multivariate Data Visualization with R, Deepayan Sarkar R programming for Bioinformatics, Robert Gentleman, CRC Press S Programming, W.N. Venables, B.D. Ripley Software for Data Analysis: Programming with R, John Chambers The Practice of Programming Good book of "common sense" programming wisdom with many real stories about things that went wrong and right. Many of othe examples are C-based, but they are still useful. Mastering Regular Expressions The authoritative book on regular expressions. Collection of R books on R project site: This is perhaps the book that best covers the topics we will explore. It is very good. Our class is aimed at a slightly higher level and with a bit more emphasis on data analysis. This book is available in PDF or HTML formats for free. Please use it and consider purchasing it as an excellent introduction and reference book for many topics that you will benefit greatly from knowing.
The R Manuals
Contributed documentation
A First Course in Statistical Programming with R, W. J. Braun and D. J. Murdoch (2007)
Data Manipulation with R, Phil Spector, 2008
Lattice: Multivariate Data Visualization with R, Deepayan Sarkar
R programming for Bioinformatics, Robert Gentleman, CRC Press
S Programming, W.N. Venables, B.D. Ripley
Software for Data Analysis: Programming with R, John Chambers
The Practice of Programming Good book of "common sense" programming wisdom with many real stories about things that went wrong and right. Many of othe examples are C-based, but they are still useful. Mastering Regular Expressions The authoritative book on regular expressions. Collection of R books on R project site: Good book of "common sense" programming wisdom with many real stories about things that went wrong and right. Many of othe examples are C-based, but they are still useful.
Mastering Regular Expressions The authoritative book on regular expressions. Collection of R books on R project site: The authoritative book on regular expressions.
Collection of R books on R project site

Duncan Temple Lang <duncan@wald.ucdavis.edu>

Last modified: Fri Sep 18 11:41:28 PDT 2009