theme_test ggplot2 Theme in R (6 Examples)

This article demonstrates how to set the ggplot2 theme to the theme_test in R programming.

Table of contents:

You’re here for the answer, so let’s get straight to the examples…

Example Data & Packages

The following data will be used as basement for this tutorial:

set.seed(122665)                           # Set random seed
data <- data.frame(x = rnorm(160),         # Create example data frame
                   y = rnorm(160),
                   group = LETTERS[1:4])
head(data)                                 # Print head of example data frame

Table 1 shows that our example data consists of three columns.

In this tutorial, we’ll also need to install and load the ggplot2 package:

install.packages("ggplot2")                # Install & load ggplot2 package
library("ggplot2")

Example 1: Draw ggplot2 Scatterplot Using theme_test()

ggplot(data,                               # theme_test scatterplot
       aes(x = x,
           y = y,
           col = group)) +
  geom_point() +
  theme_test()

Example 2: Draw ggplot2 Density Plot Using theme_test()

ggplot(data,                               # theme_test density plot
       aes(x = x,
           fill = group)) +
  geom_density(alpha = 0.5) +
  theme_test()

Example 3: Draw ggplot2 Histogram Using theme_test()

ggplot(data,                               # theme_test histogram
       aes(x = x,
           fill = group)) +
  geom_histogram(alpha = 0.5,
                 position = "identity",
                 bins = 50) +
  theme_test()

Example 4: Draw ggplot2 Barchart Using theme_test()

ggplot(aggregate(y ~ group, data, sum),    # theme_test barplot
       aes(x = group,
           y = y,
           fill = group)) +
  geom_bar(stat = "identity") +
  theme_test()

Example 5: Draw ggplot2 Boxplot Using theme_test()

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

Example 6: Draw ggplot2 Line Plot Using theme_test()

ggplot(data,                               # theme_test line plot
       aes(x = x,
           y = y,
           col = group)) +
  geom_line() +
  theme_test()

Video & Further Resources

Would you like to know more about the ggplot2 package? Then you may have a look at the following video of my YouTube channel. I explain how to use the ggplot2 package in much more detail:

You can also find tutorials on how to plot different types of graphics such as xy-plots, density plots, bargraphs, boxplots, histograms, and line charts using other ggplot2 themes:

• theme_classic
• theme_bw
• theme_dark
• theme_economist [ggthemes Package]
• theme_gray
• theme_light
• theme_linedraw
• theme_minimal
• theme_void

Also, you may check out the introductions to other add-on packages that provide extra themes for ggplot2 plots:

• ggthemes Package in R
• ggthemr Package in R

In addition, you may want to read some of the related articles on this website. You can find a selection of tutorials below.

• ggplot2 Themes in R
• Drawing Plots in R
• Introduction to R Programming

To summarize: You have learned on this page how to apply the theme_test function to modify the design and layout of a ggplot2 plot in the R programming language. In case you have additional comments and/or questions, let me know in the comments section.