Beginning R (PDF)

Conquer the complexities of this open source statistical
language

R is fast becoming the de facto standard for statistical
computing and analysis in science, business, engineering, and
related fields. This book examines this complex language using
simple statistical examples, showing how R operates in a
user-friendly context. Both students and workers in fields that
require extensive statistical analysis will find this book helpful
as they learn to use R for simple summary statistics, hypothesis
testing, creating graphs, regression, and much more. It covers
formula notation, complex statistics, manipulating data and
extracting components, and rudimentary programming.

* R, the open source statistical language increasingly used to
handle statistics and produces publication-quality graphs, is
notoriously complex

* This book makes R easier to understand through the use of
simple statistical examples, teaching the necessary elements in the
context in which R is actually used

* Covers getting started with R and using it for simple summary
statistics, hypothesis testing, and graphs

* Shows how to use R for formula notation, complex statistics,
manipulating data, extracting components, and regression

* Provides beginning programming instruction for those who want
to write their own scripts

Beginning R offers anyone who needs to perform
statistical analysis the information necessary to use R with
confidence.