theme_light ggplot2 Theme in R (6 Examples)
On this page, I’ll illustrate how to change the ggplot2 theme to the theme_light in the R programming language.
The article will contain these contents:
If you want to know more about these topics, keep reading!
Example Data & Software Packages
Consider the following example data:
set.seed(7721236) # Set random seed data <- data.frame(x = rnorm(100), # Create example data frame y = rnorm(100), group = LETTERS[1:5]) head(data) # Print head of example data frame
As you can see based on Table 1, our example data is a data frame containing three columns.
In order to use the functions of the ggplot2 software package, we also need to install and load ggplot2:
install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package
Example 1: Draw ggplot2 Scatterplot Using theme_light()
ggplot(data, # theme_light scatterplot aes(x = x, y = y, col = group)) + geom_point() + theme_light()
Example 2: Draw ggplot2 Density Plot Using theme_light()
ggplot(data, # theme_light density plot aes(x = x, fill = group)) + geom_density(alpha = 0.5) + theme_light()
Example 3: Draw ggplot2 Histogram Using theme_light()
ggplot(data, # theme_light histogram aes(x = x, fill = group)) + geom_histogram(alpha = 0.5, position = "identity", bins = 50) + theme_light()
Example 4: Draw ggplot2 Barchart Using theme_light()
ggplot(aggregate(y ~ group, data, sum), # theme_light barplot aes(x = group, y = y, fill = group)) + geom_bar(stat = "identity") + theme_light()
Example 5: Draw ggplot2 Boxplot Using theme_light()
ggplot(data, # theme_light boxplot aes(x = x, fill = group)) + geom_boxplot() + theme_light()
Example 6: Draw ggplot2 Line Plot Using theme_light()
ggplot(data, # theme_light line plot aes(x = x, y = y, col = group)) + geom_line() + theme_light()
Video & Further Resources
The ggplot2 package has of course much more of useful and awesome functions and opportunities when it comes to data visualization in R. May you have a look at the following introduction video on my my YouTube channel.
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On Statistics Globe, you can also find instructions on how to draw different kinds of plots such as scatterplots, density plots, barcharts, boxplots, histograms, and line plots using different ggplot2 themes:
- theme_economist [ggthemes Package]
In addition to that, you may have a look at the introductions to other add-on packages that contain extra themes for ggplot2 plots:
Furthermore, you may have a look at some of the related articles on https://statisticsglobe.com/:
Summary: In this R programming tutorial you have learned how to apply the theme_light function to adjust the design and layout of a ggplot2 plot. Let me know in the comments, in case you have any additional comments or questions.
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