Beginning R: The Statistical Programming LanguageConquer 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.
Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence. |
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Contents
2 | |
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 |