可视化经典书籍《ggplot2: Elegant Graphics for Data Analysis》 第二版 电子版大放送 - COS论坛 | 统计之都 | 统计与数据科学论坛You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. However, in most cases you start with ggplot , supply a dataset and aesthetic mapping with aes. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behaviour of existing functions, and if we do make changes to existing behaviour we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are three good places to start:.
Wickham Hadley. ggplot2: Elegant Graphics for Data Analysis
Springer, 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 Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of
Yes, it is about five years old. Yes, that was before tidyverse became the thing. Yes, it has solutions with qplot, ddply, and so on. Still very useful for a lot ggplot questions. Always wondered if there is a second edition for it and here it is.
Elegant Graphics for Data Analysis
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