Manually Sort Panels of Facet Plot – R ggplot2 Package (Example Code)
In this R tutorial you’ll learn how to reorder facets in a ggplot2 facet plot.
Preparing the Example
data(iris) # Load iris head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa |
data(iris) # Load iris head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa
install.packages("ggplot2") # Install & load ggplot2 library("ggplot2") |
install.packages("ggplot2") # Install & load ggplot2 library("ggplot2")
my_plot <- ggplot(iris, aes(Petal.Length, Petal.Width)) + # Default ordering geom_point() + facet_grid(.~Species) my_plot # Drawing ggplot2 facet plot |
my_plot <- ggplot(iris, aes(Petal.Length, Petal.Width)) + # Default ordering geom_point() + facet_grid(.~Species) my_plot # Drawing ggplot2 facet plot
Example: Manually Order Facet Plot with relevel() Function
iris_new <- iris # Replicating iris data set iris_new$Species <- relevel(iris_new$Species, # Reordering factor levels "virginica", "setosa", "versicolor") |
iris_new <- iris # Replicating iris data set iris_new$Species <- relevel(iris_new$Species, # Reordering factor levels "virginica", "setosa", "versicolor")
my_plot_new <- ggplot(iris_new, aes(Petal.Length, Petal.Width)) + # Recreate ggplot2 facet plot geom_point() + facet_grid(.~Species) my_plot_new # Create updated plot |
my_plot_new <- ggplot(iris_new, aes(Petal.Length, Petal.Width)) + # Recreate ggplot2 facet plot geom_point() + facet_grid(.~Species) my_plot_new # Create updated plot