Boxplots in ggplot2
Completion requirements
In this section, you will learn the ggplot2 codes for producing boxplots. While the syntax and default appearance may differ, these plots aim to compare distributions and identify outliers. If you need, you can add a few lines of code to make the base-R and ggplot2 graphs look the same. The choice of which plotting system to use is yours now.
Customized box plots
# Basic box plot ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_boxplot(fill="gray")+ labs(title="Plot of length per dose",x="Dose (mg)", y = "Length")+ theme_classic() # Change automatically color by groups bp <- ggplot(ToothGrowth, aes(x=dose, y=len, fill=dose)) + geom_boxplot()+ labs(title="Plot of length per dose",x="Dose (mg)", y = "Length") bp + theme_classic()
Change fill colors manually :
# Continuous colors bp + scale_fill_brewer(palette="Blues") + theme_classic() # Discrete colors bp + scale_fill_brewer(palette="Dark2") + theme_minimal() # Gradient colors bp + scale_fill_brewer(palette="RdBu") + theme_minimal()
