Название: R by Example, Second Edition
Автор: Jim Albert, Maria Rizzo
Издательство: Springer
Серия: Use R!
Год: 2024
Страниц: 461
Язык: английский
Формат: pdf (true), epub
Размер: 34.7 MB

Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.

The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R.

The example-based approach of R by Example, writing style, and target audience have not changed. We believe that it is appropriate to focus on the base R language, especially for readers with limited programming background. The new edition updates the material throughout every chapter to reflect major changes described in this Preface. Most of the examples and exercises of the first edition are retained, with some additional ones included in the second edition. As in the first edition, in R by Example, second edition, we focus on learning the R language itself, but also include many examples of ggplot graphics.

The book begins with a thoroughly revised Introduction followed by methods for quantitative data and categorical data, exploratory data analysis, graphics, and basic statistical inference. The chapter on presentation graphics is thoroughly revised with coverage of both base R and ggplot graphics. There are new chapters on multivariate topics and importing data.

The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.