R for Data Science - A modified Version by 薛雨晴
Welcome
This is the material for the Practice and Demonstration of the 2nd edition of “R for Data Science”, authored by Hadley Wickham, modified by Yuqing Xue (薛雨晴) , tailored for undergraduate students.
As you may be aware, other R books have the tendency to be exhaustive, covering every possible component, rather than focusing on the most common and useful components, as this book does.
Inspired by Hadley Wickham’s R4ds, I am putting my effort into assembling a project-based, practical R book.
The following statements were authored by Hadley Wickham:
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.
In this book, you will find a practicum of skills for data science. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R.
You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualizing, and exploring data.
本材料来自 Hadley Wickham 的 R for Data Science, 2e. 你所看到的内容在原书基础上有所增删，改动，并且这种改动在持续更新中。增 ，删，改的目的是使其适用于本科生教学。任 何形式的传播均需获取本人授权。