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

 

table 1 data frame theme_light ggplot2 theme

 

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()

 

r graph figure 1 theme_light ggplot2 theme

 

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()

 

r graph figure 2 theme_light ggplot2 theme

 

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()

 

r graph figure 3 theme_light ggplot2 theme

 

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()

 

r graph figure 4 theme_light ggplot2 theme

 

Example 5: Draw ggplot2 Boxplot Using theme_light()

ggplot(data,                               # theme_light boxplot
       aes(x = x,
           fill = group)) +
  geom_boxplot() +
  theme_light()

 

r graph figure 5 theme_light ggplot2 theme

 

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()

 

r graph figure 6 theme_light ggplot2 theme

 

Video & Further Resources

Do you want to learn more about the usage of the theme_light theme of the ggplot2 package? Then you could have a look at the following video that I have published on my YouTube channel. In the video tutorial, I demonstrate the R programming syntax of this article.

 

The YouTube video will be added soon.

 

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:

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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