'Display explicit points on x axis for Density plots(ggplot2) in R
I have plotted a density plot using ggplot2 and as a next step I would like to explicitly highlight specific points(outliers) on x-axis. Below is my graph as far now:

Below was my code to generate the same.:
p<-ggplot(df,aes(x=df$Infection_Risk)) + geom_density() + xlab("\n Infection
Risk") + ylab("Density \n")
Now, I want to show points c(7.7 7.6 7.8 1.3 1.3 1.4) explicitly on x axis with a different shape
Can someone please give an hint on this on what my next step should be?
Solution 1:[1]
You might consider plotting those using geom_point or geom_jitter (which adds some positioning noise to help distinguish overlapping points).
Here with fake data:
df <- tibble( Infection_Risk = rnorm(100, 4.5, 2))
outliers <- tibble(x = c(7.7, 7.6, 7.8, 1.3, 1.3, 1.4), y = 0)
ggplot(df,aes(x=Infection_Risk)) + geom_density() + xlab("\n Infection
Risk") + ylab("Density \n") +
geom_jitter(data = outliers, aes(x,y), height = 0.01)
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Source: Stack Overflow
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