Beginning R
The Statistical Programming Language
(Sprache: Englisch)
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...
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...
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Klappentext zu „Beginning R “
Conquer the complexities of this open source statistical languageR 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.
Inhaltsverzeichnis zu „Beginning R “
Introduction xxiChapter 1: Introducing R: What It Is and How to Get It 1
Chapter 2: Starting Out: Becoming Familiar with R 25
Chapter 3: Starting Out: Working With Objects 65
Chapter 4: Data: Descriptive Statistics and Tabulation 107
Chapter 5: Data: Distrib ution 151
Chapter 6: Si mple Hypothesis Testing 181
Chapter 7: Introduction to Graphical Analysis 215
Chapter 8: Formula Notation and Complex Statistic s 263
Chapter 9: Manipulating Data and Extracting Components 295
Chapter 10: Regression (Li near Modeling) 327
Chapter 11: More About Graphs 363
Chapter 12: Writing Your Own Scripts: Beginning to Program 415
Appendix: Answers to Exerci ses 433
Index 461
Autoren-Porträt von Mark Gardener
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.
Bibliographische Angaben
- Autor: Mark Gardener
- 2012, 1. Auflage, 512 Seiten, Maße: 18,8 x 23,1 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 111816430X
- ISBN-13: 9781118164303
- Erscheinungsdatum: 06.07.2012
Sprache:
Englisch
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