A density plot is a representation of the distribution of a numeric
variable. It is a smoothed version of the histogram and is used in the
same kind of situation.
Here is a basic example of a mirror density plot.
# Libraries
library(ggplot2)
library(hrbrthemes)
# Dataset
data <- data.frame(
var1 <- rnorm(1000),
var2 <- rnorm(1000, mean=2)
)
# Mirror density curve
p <- ggplot(data, aes(x=x)) +
# Top one
geom_density(aes(x = var1, y = ..density..), fill = "red") +
geom_label(aes(x=4.5, y=0.25, label="Variable 1"), color = "red") +
# Bottom one
geom_density(aes(x = var2, y = -..density..), fill = "blue") +
geom_label(aes(x=4.5, y=-0.25, label="Variable 2"), color = "blue") +
theme_ipsum() # add a theme
p
This document is a work of the statistics team in the Biostatistics and Medical Information Department at Saint-Louis Hospital in Paris (SBIM).
Based on The R Graph Gallery by Yan Holtz.