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發(fā)表于 2025-3-21 16:53:42 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱ggplot2
編輯Hadley Wickham
視頻videohttp://file.papertrans.cn/392/391544/391544.mp4
叢書名稱Use R!
圖書封面Titlebook: ;
出版日期Book 2016Latest edition
版次2
doihttps://doi.org/10.1007/978-3-319-24277-4
isbn_softcover978-3-319-24275-0
isbn_ebook978-3-319-24277-4Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:50:35 | 只看該作者
Programming with ggplot2tement repeated over and over again, you’ll have to make the same change in many different places. Often just the thought of making all those changes is exhausting! This chapter will help you overcome that problem by showing you how to program with ggplot2.
板凳
發(fā)表于 2025-3-22 03:02:29 | 只看該作者
地板
發(fā)表于 2025-3-22 07:01:57 | 只看該作者
Erratum to: Die FMA-Volldieselmotorentement repeated over and over again, you’ll have to make the same change in many different places. Often just the thought of making all those changes is exhausting! This chapter will help you overcome that problem by showing you how to program with ggplot2.
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發(fā)表于 2025-3-22 11:36:57 | 只看該作者
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發(fā)表于 2025-3-22 14:27:11 | 只看該作者
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發(fā)表于 2025-3-22 19:41:52 | 只看該作者
Introductionrammar. This grammar, based on the Grammar of Graphics (Wilkinson,?.), is made up of a set of independent components that can be composed in many different ways. This makes ggplot2 very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are
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發(fā)表于 2025-3-22 23:08:54 | 只看該作者
Getting Started with ggplot2ome useful “recipes” to make the most important plots. . allows you to make complex plots with just a few lines of code because it’s based on a rich underlying theory, the grammar of graphics. Here we’ll skip the theory and focus on the practice, and in later chapters you’ll learn how to use the ful
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發(fā)表于 2025-3-23 03:56:11 | 只看該作者
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發(fā)表于 2025-3-23 08:34:35 | 只看該作者
Scales, Axes and Legendsape. Scales also provide the tools that let you read the plot: the axes and legends. Formally, each scale is a function from a region in data space (the domain of the scale) to a region in aesthetic space (the range of the scale). The axis or legend is the inverse function: it allows you to convert
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