Wilkinson created the grammar of graphics to describe the fundamental features that underlie all statistical graphics. This book will introduce you to ggplot2 assuming that you’re a novice, unfamiliar with the grammar teach you the basics so that you can re-create plots you are already familiar with show you how to use the grammar to create new types of graphics and eventually turn you into an expert who can build new components to extend the grammar. However, the more you learn about it, the more effectively you’ll be able to use ggplot2. Like other formal systems, ggplot2 is useful even when you don’t understand the underlying model. It also explains the grammar on which ggplot2 is based. This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. In ggplot2, the expressions used to create a new graphic are composed of higher-level elements, like representations of the raw data and statistical transformations, that can easily be combined with new datasets and other plots. Without a grammar, there is no underlying theory, so most graphics packages are just a big collection of special cases.įor example, in base R, if you design a new graphic, it’s composed of raw plot elements like lines and points so it’s hard to design new components that combine with existing plots. Learning the grammar will not only help you create graphics that you’re familiar with, but will also help you to create newer, better graphics. This is especially helpful for students who have not yet developed the structured approach to analysis used by experts. This reduces the distance between the plot in your head and the one on the page. This allows you to produce graphics using the same structured thinking that you would use to design an analysis. Then you add layers of annotations and statistical summaries. You start with a layer that shows the raw data. Ultimately, this means that rather than spending your time making your graph look pretty, you can instead focus on creating the graph that best reveals the message in your data. However, if you do have special formatting requirements, ggplot2’s comprehensive theming system makes it easy to do what you want. In fact, its carefully chosen defaults mean that you can produce publication-quality graphics in seconds. Ggplot2 provides beautiful, hassle-free plots that take care of fiddly details like drawing legends. The hard part is that it may take a little time to forget all the preconceptions that you bring over from using other graphics tools. While the idea of having to learn a grammar may sound overwhelming, ggplot2 is actually easy to learn: there is a simple set of core principles and there are very few special cases. Rather than being limited to sets of pre-defined graphics, you can create novel graphics that are tailored to your specific problem. Unlike most other graphics packages, ggplot2 has an underlying grammar, based on the Grammar of Graphics, 1 that allows you to compose graphs by combining independent components. Ggplot2 is an R package for producing statistical, or data, graphics.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |