A histogram displays the distribution of a numeric variable. This posts explains how to build a mirrored histogram in base R, without any package. It allows to compare the distribution of 2 variables
The mirrored histogram allows to compare the distribution of 2 variables.
First split the screen with the par(mfrow())
command.
The top histogram needs a xaxt="n"
statement
to discard its X axis. For the second one, inverse the values of the
ylim
argument to flip it upside down. Use the
margin
command to adjust the position of the 2 charts.
#Create Data
x1 = rnorm(100)
x2 = rnorm(100)+rep(2,100)
par(mfrow=c(2,1))
#Make the plot
par(mar=c(0,5,3,3))
hist(x1 , main="" , xlim=c(-2,5), ylab="Frequency for x1", xlab="", ylim=c(0,25) , xaxt="n", las=1 , col="slateblue1", breaks=10)
par(mar=c(5,5,0,3))
hist(x2 , main="" , xlim=c(-2,5), ylab="Frequency for x2", xlab="Value of my variable", ylim=c(25,0) , las=1 , col="tomato3" , breaks=10)
👋 After crafting hundreds of R charts over 12 years, I've distilled my top 10 tips and tricks. Receive them via email! One insight per day for the next 10 days! 🔥