CODEWITHSUNDEEP
rlayouthistogrambar-chartpar
Wolv
Wolv

Reputation: 33

R Histogram and Boxplot alignment

I have the problem that i want to put barplot under a histogram where the barplot of a value is exactly under the certain value of the histogram. Unfortunately the scaling of the histogram is not the same as in the barplot and additionally there is a little gap in the histogram.

Is there a possibility to rearrange that?

# data
set.seed(4566)
a <- rnorm(100)
a <- dnorm(a)*10+1 
data <- a

#data plot 2
values <- matrix(,,3)
values[1,1] <- 1
values[1,2] <- 2
values[1,3] <- 3
colnames(values) <- c('Mean','Best 50%','Worst 50%')

# layout boxplot is at the bottom 
nf <- layout(mat = matrix(c(1,2),2,1, byrow=TRUE), height = c(3,1))
par(mar=c(3.1, 3.1, 1.1, 2.1),oma=c(0,2,1,1))
b <- c(0,1,2,3,4,5)
hist(data,xlim = range(0:6),ylim=range(0:25),col = "blue",breaks=b)
barplot(values, horiz=T, xlim=range(0:6),ylim=range(0:3),las=1)

enter image description here

Upvotes: 3

Views: 597

Answers (1)

user20650
user20650

Reputation: 25874

One way is to use the xaxs parameter within the hist call

nf <- layout(mat = matrix(c(1,2),2,1, byrow=TRUE), height = c(3,1))
par(mar=c(3.1, 3.1, 1.1, 2.1),oma=c(0,2,1,1))
hist(data,xlim = range(0:6),ylim=range(0:25),col = "blue", breaks=b, xaxs="i")
barplot(values, horiz=T, xlim=range(0:6),ylim=range(0:3), las=1)

which gives

enter image description here

The xaxs parameter is used for the calculation of the x-axis (see ?par).

Have a look at what it does

The default xaxs = "r" 

hist(data,xlim = range(0:6),ylim=range(0:25),col = "blue", breaks=b, xaxs="r")
par("usr")
#[1] -0.24  6.24 -1.00 26.00

The first two points give the x axis limits - you can see it has been expanded. To force this to stay within the range of the data you can use the xaxs="i" option

hist(data,xlim = range(0:6),ylim=range(0:25),col = "blue", breaks=b, xaxs="i")
par("usr")
#[1]  0  6 -1 26

Which agrees with your barplot

barplot(values, horiz=T, xlim=range(0:6),ylim=range(0:3), las=1)
par("usr")
#[1]  0.00  6.00 -0.12  3.12

Upvotes: 3

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