A histogram displays the distribution of a numeric variable. This posts explains how to build a mirrored histogram in basic 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 graphics.
#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)