Gardener Beginning R

The Statistical Programming Language
1. Auflage 2012
ISBN: 978-1-118-22616-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 512 Seiten, E-Book

Conquer the complexities of this open source statisticallanguage
R is fast becoming the de facto standard for statisticalcomputing and analysis in science, business, engineering, andrelated fields. This book examines this complex language usingsimple statistical examples, showing how R operates in auser-friendly context. Both students and workers in fields thatrequire extensive statistical analysis will find this book helpfulas they learn to use R for simple summary statistics, hypothesistesting, creating graphs, regression, and much more. It coversformula notation, complex statistics, manipulating data andextracting components, and rudimentary programming.
* R, the open source statistical language increasingly used tohandle statistics and produces publication-quality graphs, isnotoriously complex
* This book makes R easier to understand through the use ofsimple statistical examples, teaching the necessary elements in thecontext in which R is actually used
* Covers getting started with R and using it for simple summarystatistics, 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 wantto write their own scripts
Beginning R offers anyone who needs to performstatistical analysis the information necessary to use R withconfidence.

Autoren/Hrsg.

Gardener, Mark

Über Autor(innen)

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.