# The Book of R: A First Course in Programming and Statistics

PDF

- eBook:The Book of R: A First Course in Programming and Statistics
- Author:Tilman M. Davies
- Edition:1 edition
- Categories:
- Data:2016-07-16
- ISBN:1593276516
- Language:English
- Pages:832
- Format:PDF

**Book Description**

## The Book of R: A First Course in Programming and Statistics *by Tilman M. Davies*

*The Book of R*is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for 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 and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:

–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

–How to draw valid and useful conclusions from your data

–How to create publication-quality graphics of your results

Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make

*The Book of R*your doorway into the growing world of data analysis.

**Content**

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 Visualization

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