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 usedCovers getting started with R
and using it for simple summary statistics, hypothesis testing, and
graphsShows how to use R for formula notation, complex statistics,
manipulating data, extracting components, and regressionProvides
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.
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