Beginning R: The Statistical Programming Language

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John Wiley & Sons, May 24, 2012 - Computers - 504 pages
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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.

 

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Contents

INTRODUCING R WHAT IT IS AND HOW TO GET IT
2
CONTENTS
21
STARTING OUT BECOMING FAMILIAR WITH R
25
Removing Objects from R
44
Editing History Files
53
STARTING OUT WORKING
65
Manipulating Lists
76
Testing and Converting
96
INTRODUCTION TO GRAPHICAL ANALYSIS
215
Scatter Plots
222
FORMULA NOTATION AND COMPLEX STATISTICS
263
MANIPULATING DATA
295
Summarizing Data
312
Summary
323
Summarizing Regression Models
356
MORE ABOUT GRAPHS
363

Summary
104
Cumulative Statistics
115
DATA DISTRIBUTION
151
SIMPLE HYPOTHESIS TESTING
181
WRITING YOUR OWN SCRIPTS
416
Summary
428
INDEX
461
Copyright

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About the author (2012)

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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