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.
O autorze
Dr. Mark Gardener is an ecologist, lecturer, and writer working in the UK. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations.
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