Beginning R (eBook)

The Statistical Programming Language

Mark Gardener (Autor)

eBook Download: PDF

2012 | 1. Auflage
512 Seiten
John Wiley & Sons (Verlag)
978-1-118-22616-2 (ISBN)

Infos

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.

Autor

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.

Produkt-Details

• Erscheint lt. Verlag: 22.5.2012
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
• Schlagworte: Computer Science • Informatik • Programmierung u. Software-Entwicklung • Programming & Software Development • R (Programm)
• ISBN-10: 1-118-22616-X / 111822616X
• ISBN-13: 978-1-118-22616-2 / 9781118226162