Free Download The Book of R: A First Course in Programming and Statistics in PDF written by Tilman M. Davies and published by No Starch Press, San Francisco, America.
According to the Author, “The aim of The Book of R: A First Course in Programming and Statistics is to provide a relatively gentle yet informative exposure to the statistical software environment R, alongside some common statistical analyses, so that readers may have a solid foundation from which to eventually become experts in their own right. Learning to use and program in a computing language is much the same as learning a new spoken language. At the beginning, it is often difficult and may even be daunting—but total immersion in and active use of the language is the best and most effective way to become fluent.
Many beginner-style texts that focus on R can generally be allocated to one of two categories: those concerned with computational aspects (that is, syntax and general programming tools) and those with statistical modeling and analysis in mind, often one particular type. In my experience, these texts are extremely well written and contain a wealth of useful information but better suit those individuals wanting to pursue fairly specific goals from the outset. This text seeks to combine the best of both worlds, by first focusing on only an appreciation and understanding of the language and its style and subsequently using these skills to fully introduce, conduct, and interpret some common statistical practices. The target audience is, quite simply, anyone who wants to gain a foothold in R as a first computing language, perhaps with the ultimate goal of completing their own statistical analyses.
In view of this, The Book of R can be used purely as a programming text to learn the language or as an introductory statistical methods book with accompanying instruction in R. Though it is not intended to represent an exhaustive dictionary of the language, the aim is to provide readers with a comfortable learning tool that eliminates the kind of foreboding many have voiced to me when they have considered learning R from scratch.
Table of Contents
- GETTING STARTED
- Numerics, Arithmetic, Assignment, and Vectors
- Matrices and Arrays
- Non-numeric Values
- Lists and Data Frames
- Special Values, Classes, and Coercion.
- Basic Plotting
- Reading and Writing Files
- Calling Functions
- Conditions and Loops
- Writing Functions
- Exceptions, Timings, and Visibility
- Elementary Statistics
- Basic Data Visualization
- Common Probability Distributions
- Sampling Distributions and Confidence
- Hypothesis Testing
- Analysis of Variance
- Simple Linear Regression
- Multiple Linear Regression
- Linear Model Selection and Diagnostics
- Advanced Plot Customization
- Going Further with the Grammar of Graphics
- Defining Colors and Plotting in Higher Dimensions
- Interactive 3D Plots
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