The Book of R, 2nd Edition

A First Course in Programming and Statistics

Tilman M. Davies (Autor)

Buch | Softcover

908 Seiten

2025
No Starch Press,US (Verlag)
978-1-7185-0368-7 (ISBN)

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Even if you have no programming experience and little more than a grounding in basic math, The Book of R, 2nd Edition will teach you everything you need to know for using R effectively in statistical analysis. You'll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data, performing statistical tests, and modelling. You'll also learn how to create impressive data visualizations with R's graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Over 30 of hands-on exercises (with downloadable solutions) take you from theory to practice, as you explore: the fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops; statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R; how to access R's thousands of functions, libraries, and data sets, and how to draw valid and useful conclusions from your data How to create publication-quality graphics of your results.

Tilman M. Davies is an academic at the Department of Mathematics and Statistics at the University of Otago in New Zealand, where he teaches statistics at all university levels. He has been programming in R since the early 2000s and uses it in all of his courses. Davies has received multiple significant research grants for his methodological work in spatial statistics and in 2024 received the Littlejohn Award, the premier research award of the New Zealand Statistical Association.

Preface
Acknowledgments
Introduction

PART I: THE LANGUAGE
Chapter 1: Getting Started
Chapter 2: Numerics, Arithmetic, Assignment, and Vectors
Chapter 3: Matrices and Arrays
Chapter 4: Non-Numeric Values
Chapter 5: Lists and Data Frames
Chapter 6: Special Values, Classes, and Coercion
Chapter 7: Basic Plotting
Chapter 8: Reading and Writing Files

PART II: PROGRAMMING
Chapter 9: Calling Functions
Chapter 10: Conditions and Loops
Chapter 11: Writing Functions
Chapter 12: Exceptions, Timings, and Visibility

PART III: STATISTICS AND PROBABILITY
Chapter 13: Elementary Statistics
Chapter 14: Basic Data Visualizations
Chapter 15: Probability
Chapter 16: Common Probability Distributions

PART IV: STATISTICAL TESTING AND MODELING
Chapter 17: Sampling Distributions and Confidence
Chapter 18: Hypothesis Testing
Chapter 19: Analysis of Variance
Chapter 20: Simple Linear Regression
Chapter 21: Multiple Linear Regression
Chapter 22: Linear Model Selection and Diagnostics

PART V: ADVANCED GRAPHICS
Chapter 23: Advanced Plot Customization
Chapter 24: Going Further with the Grammar of Graphics
Chapter 25: Defining Colors and Plotting in Higher Dimensions
Chapter 26: Interactive 3D Plots

Appendix A: Installing R and Contributed Packages
Appendix B: Working with RStudio
Reference List

Erscheinungsdatum	14.11.2025
Verlagsort	San Francisco
Sprache	englisch
Maße	179 x 234 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
ISBN-10	1-7185-0368-7 / 1718503687
ISBN-13	978-1-7185-0368-7 / 9781718503687
Zustand	Neuware