theme_gray ggplot2 Theme in R (6 Examples)
In this R tutorial you’ll learn how to change the ggplot2 theme to the theme_gray.
The content of the page is structured like this:
You’re here for the answer, so let’s get straight to the examples:
Example Data & Add-On Packages
We use the following data as basement for this R tutorial:
set.seed(842236) # Set random seed data <- data.frame(x = rnorm(100), # Create example data frame y = rnorm(100), group = LETTERS[1:4]) head(data) # Print head of example data frame |
set.seed(842236) # Set random seed data <- data.frame(x = rnorm(100), # Create example data frame y = rnorm(100), group = LETTERS[1:4]) head(data) # Print head of example data frame
Have a look at the table that got returned after running the previous R code. It reveals the first six rows of the example data, and that our data is constituted of three columns. The columns x and y are numerical and the variable group has the character data type.
In case we want to use the functions of the ggplot2 package, we also have to install and load ggplot2:
install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 |
install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2
In the following examples, we’ll draw different kinds of graphics using the theme_gray (also called theme_grey) of the ggplot2 package.
Note that this is the default theme of the ggplot2 package. For that reason, we could simply remove the theme_gray code from the examples below to produce the same output graphics.
Anyway, let’s draw some plots!
Example 1: Draw ggplot2 Scatterplot Using theme_gray()
ggplot(data, # theme_gray scatterplot aes(x = x, y = y, col = group)) + geom_point() + theme_gray() |
ggplot(data, # theme_gray scatterplot aes(x = x, y = y, col = group)) + geom_point() + theme_gray()
Example 2: Draw ggplot2 Density Plot Using theme_gray()
ggplot(data, # theme_gray density plot aes(x = x, fill = group)) + geom_density(alpha = 0.5) + theme_gray() |
ggplot(data, # theme_gray density plot aes(x = x, fill = group)) + geom_density(alpha = 0.5) + theme_gray()
Example 3: Draw ggplot2 Histogram Using theme_gray()
ggplot(data, # theme_gray histogram aes(x = x, fill = group)) + geom_histogram(alpha = 0.5, position = "identity", bins = 50) + theme_gray() |
ggplot(data, # theme_gray histogram aes(x = x, fill = group)) + geom_histogram(alpha = 0.5, position = "identity", bins = 50) + theme_gray()
Example 4: Draw ggplot2 Barchart Using theme_gray()
ggplot(aggregate(y ~ group, data, sum), # theme_gray barplot aes(x = group, y = y, fill = group)) + geom_bar(stat = "identity") + theme_gray() |
ggplot(aggregate(y ~ group, data, sum), # theme_gray barplot aes(x = group, y = y, fill = group)) + geom_bar(stat = "identity") + theme_gray()
Example 5: Draw ggplot2 Boxplot Using theme_gray()
ggplot(data, # theme_gray boxplot aes(x = x, fill = group)) + geom_boxplot() + theme_gray() |
ggplot(data, # theme_gray boxplot aes(x = x, fill = group)) + geom_boxplot() + theme_gray()
Example 6: Draw ggplot2 Line Plot Using theme_gray()
ggplot(data, # theme_gray line plot aes(x = x, y = y, col = group)) + geom_line() + theme_gray() |
ggplot(data, # theme_gray line plot aes(x = x, y = y, col = group)) + geom_line() + theme_gray()
Video & Further Resources
Do you need further explanations on the content of the present page? Then you could have a look at the following video on my YouTube channel. In the video, I’m explaining the topics of the present post:
The YouTube video will be added soon.
I have also created tutorials on how to use other ggplot2 themes in R:
- theme_bw
- theme_classic
- theme_dark
- theme_economist [ggthemes Package]
- theme_light
- theme_linedraw
- theme_minimal
- theme_test
- theme_void
Furthermore, you may have a look at the introductions to other add-on packages that provide extra themes for ggplot2 plots:
Also, you could have a look at the other tutorials on my website. Some tutorials are shown below.
To summarize: In this tutorial, I have shown how to apply the theme_gray function in the R programming language. Please let me know in the comments, in case you have further questions. Furthermore, please subscribe to my email newsletter to receive regular updates on the newest articles.
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