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 data frame theme_test ggplot2 theme

 

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()

 

r graph figure 1 theme_test ggplot2 theme

 

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()

 

r graph figure 2 theme_test ggplot2 theme

 

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()

 

r graph figure 3 theme_test ggplot2 theme

 

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()

 

r graph figure 4 theme_test ggplot2 theme

 

Example 5: Draw ggplot2 Boxplot Using theme_test()

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

 

r graph figure 5 theme_test ggplot2 theme

 

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()

 

r graph figure 6 theme_test ggplot2 theme

 

Video & Further Resources

Would you like to know more about the application of the theme_test ggplot2 theme? Then I can recommend watching the following video on my YouTube channel. In the video, I illustrate the R programming code of this article.

 

The YouTube video will be added soon.

 

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:

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

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

 

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.

 

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