Recently I’ve been working on a post about ggplot2 , a popular open source tool for data visualization. It’s a great fit for the R ecosystem, and I thought it might benefit others—so I decided to share some of the things I’ve learned so far.
Every time you see a rectangle in a chart, you can bet that it was created with the element_rect() function. And when you see a data plot of a chart, you can bet that it was created in ggplot2. Despite the benefits of this popular function, there are a number of situations where you don’t need it. This post gives you seven tips that will help you customize rectangle elements in ggplot2 element_rect() .
If you’re doing any kind of data analysis with ggplot2, you’ll eventually need to create a plot that consists only of rectangular elements. Here’s a small list of some useful tricks that will help you do that.
Continuing the blog series on managing thematic elements in ggplot2, in this article we will see how to set rectangular elements in ggplot2 with element_rect(). The theme function of ggplot2 allows us to fully control the non-data elements of the graph created with ggplot2. The theme system in ggplot2 comes with several element_ functions,
In previous posts we have seen how to set up text with element_text() and lines with element_line(). In this post, we will learn 7 tips for setting up rectangular elements in ggplot2.
Anatomy of element_rect() in ggplot2
With element_rect() we can adjust all rectangular elements of the plot. For example, we can customize the colors of the lines and rectangles that define the borders and background of the story….. Anatomy of rectangular elements in ggplot2 Like the other theme element functions, we will use the plot.background element as theme() argument and use element_rect() to set the fill color. Here is element_rect() with the available arguments and their default options. In this lesson we will focus on changing the color, size, line type and arrow using the theme() function. element_rect( fill = NULL, color = NULL, size = NULL, linetype = NULL, color = NULL, inherit.blank = FALSE ) There are a total of 7 aspects of rectangle elements that we can use to control the three main aspects/line elements in a graph built with ggplot2. Here is the list of elements we can handle with element_lines().
- plot.background : to define the background color of the plot
- panel.background : to set the background of the panel
- panel.border : to define the borders of the panel
- legend.key : Setting the legend key
- legend.background : to define the background of the legend
- legend.box.background : to set the background of the legend box
- strip.background : Setting the background of the band in the facet graph
Simple scatter diagrams with legend
Let’s start by building a simple scatter plot with the default gray background. p<- Penguins %>% drop_na() %>% ggplot(aes(x=last_length_mm, y=jaw_length_mm, color=species, shape=sex))+ geom_point() p Here is what a simple scatterplot looks like with legends. And we will learn how to customize with 7 rectangular theme elements by changing one element at a time. Standard point cloud with ggplot2 legend Note the default background of the plot, the area around the plot is white. Here we change the default background of the graph from white to sky blue with plot.background=element_rect(fill = sky blue). p + theme(plot.background = element_rect(fill = skyblue)) ggsave(customize_plot_background_with_element_rect_ggplot2.png) Plotting background adjustment with element_rect() We can change the background of the area where the real map is displayed to a linen color. p + theme(panel.background = element_rect(fill = linen, color = grey50)) ggsave(customize_panel_background_with_element_rect_ggplot2.png) Customize the panel background with element_rect() p + theme(panel.border = element_rect(color=purple, fill=NA)) ggsave(customize_panel_border_with_element_rect_ggplot2.png) Adjust panel frame with element_rect() p + theme(legend.key = element_rect(padding = light yellow, color = blue)) ggsave(customize_legend_key_with_element_rect_ggplot2.png) modify legend key with element_rect() p + theme(legend.background = element_rect(fill =light yellow, color =black, linetype =painted)) ggsave(customize_legend_background_with_element_rect_ggplot2.png) Adjust legend background with element_rect() p + theme(legend.box.background = element_rect(color=red, size=1)) ggsave(customize_legend_box_background_with_element_rect_ggplot2.png) Customize the background of the caption box with element_rect() p + facet_wrap( ~ sex)+ theme(strip.background = element_rect(color = purple, size = 1)) ggsave(customize_strip_background_facet_wrap_with_element_rect_ggplot2.png) Adjust the background band for faceting with element_rect() Hacking ggplot2 is all about customizing your visualizations and building your own visualizations! In this post, we’ll take a look at how to customize the Google Chart Tools’ element_rect() function. This function is used to draw a rectangle around a series of data points, and ggplot2’s function is very similar.. Read more about ggplot add legend manually and let us know what you think.
Frequently Asked Questions
How do I make my Ggplot look good?
Ggplot2 makes the preparation of data visualizations a breeze; it’s easy to get your data cleaned and ready to analyze, and the visualizations are extremely flexible and customizable. However, the element_rect() function often returns an element that isn’t quite rectangular. You can use the rectangles_fill parameter to fix this, but it’s better to do it the ‘correct’ way: with a bit of custom code. In the ggplot2 package, it is possible to add rectangles to the plots themselves, using the element_rect() function. However, it is not always necessary for the rectangles to be filled in with color.
Which function can I use to modify the elements of a theme in Ggplot?
ggplot2::element_rect() is a handy function that can help users to easily modify the plot elements for the design. In this post, we will show how to use it, and customize the rectangle elements by changing text, size, font, and position. As you know, I have been using the ggplot2 package for a while now. With the recent release of version 2.1, I became more aware of the functions that can be used within R to customize the display of different elements in your plots. Elements like lines, points, barbs, etc. can be customized in ways that are not obvious at first. They can be modified to mean different things as well as the color and size of these elements.
How do I set margins in ggplot2?
ggplot2 is a relatively new data visualization library that is derived from the popular R package ggplot2. One of the most commonly used methods is the element_rect() function that allows you to draw rectangles on top of your plots. You can make your plots more interesting by adding some extra features. One way to do this is to define “rectangles” along your plot elements. The rectangle element creates a plot with an outlined shape that is useful for setting the margins on plots.
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