Draw ggplot2 Graphic with Marginal Plot in R (Example Code)

data(iris)                     # Import example data
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) # Import example data 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,        # Draw ggplot2 plot without marginal plot
                  aes(x = Petal.Length,
                      y = Sepal.Length,
                      col = Species)) +
  geom_point() +
  theme(legend.position = "bottom")
my_plot

my_plot <- ggplot(iris, # Draw ggplot2 plot without marginal plot aes(x = Petal.Length, y = Sepal.Length, col = Species)) + geom_point() + theme(legend.position = "bottom") my_plot

install.packages("ggExtra")    # Install ggExtra package
library("ggExtra")             # Load ggExtra

install.packages("ggExtra") # Install ggExtra package library("ggExtra") # Load ggExtra

ggMarginal(my_plot,            # Apply ggMarginal function
           type = "histogram",
           groupColour = TRUE,
           groupFill = TRUE)

ggMarginal(my_plot, # Apply ggMarginal function type = "histogram", groupColour = TRUE, groupFill = TRUE)