Modify Number of Decimals on Axis Tick Labels of ggplot2 Plot in R (Example Code)
In this R tutorial you’ll learn how to modify the number of decimals on the axis tick labels of a plot.
Setting up the Example
data(iris) # Loading example data frame 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) # Loading example data frame 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 ggplot2 package library("ggplot2") # Load ggplot2 package |
install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package
my_plot <- ggplot(iris, # Drawing ggplot2 plot without manual axis aes(x = Sepal.Length, y = Sepal.Width)) + geom_point() my_plot # Draw ggplot2 plot with default decimals |
my_plot <- ggplot(iris, # Drawing ggplot2 plot without manual axis aes(x = Sepal.Length, y = Sepal.Width)) + geom_point() my_plot # Draw ggplot2 plot with default decimals
Example: Modify Number of Decimal Places in ggplot2 Plot Axis Tick Labels Using scales Package
install.packages("scales") # Install scales package library("scales") # Load scales package |
install.packages("scales") # Install scales package library("scales") # Load scales package
my_plot + # Manually specify decimal places scale_x_continuous(labels = number_format(accuracy = 0.01)) + scale_y_continuous(labels = number_format(accuracy = 0.00001)) |
my_plot + # Manually specify decimal places scale_x_continuous(labels = number_format(accuracy = 0.01)) + scale_y_continuous(labels = number_format(accuracy = 0.00001))
Related Articles & Further Resources
Below, you can find some further resources on topics such as ggplot2, graphics in R, numeric values, and labels: