Trouble changing appearance of mosaic plot

[Jire23]

Hi I'm very new to using R so I know this is a basic/silly question, but I've been struggling with it for a few days!

I'm creating mosaic plots with my data and I'm struggling to figure out how to change different design features of these plots.

This is the code I used to create the plot below:

mosaicplot(~ factor(S1, labels = c("Negative", "Positive")) +
             factor(Q2b_g, labels = c("Sell before\nweaning", "Sell after\nweaning","Finish","Other")),
           data = Q_2bg, xlab = "Serology result", ylab = "Length of time rear dairy\nbull & beef calves",
           main = "How long do you rear dairy bull & beef calves?")

I'd like to reduce the size of all of the text on the figure and I've searched for code online and have not been able to find anything that works!

I have seen suggestions on forums to input this:

labeling = vcd::labeling_border(rot_labels = c(45, 45))

But when I added this into my code it didn't work, and other than that I have not found any other suggestions!

Any help would be much appreciated!

[jrkrideau]

We need a reproducible example (reprex)

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Jire23]

Hopefully this will suffice!

library(ggplot2)

df1 <- data.frame(serology = c(1,1,0,1,1,0,0,1,1,0),
                  Q2b = c("A","C","A","B","D","C","B","C","A","A"))

mosaicplot(~factor(serology, labels = c("Negative","Positive")) +
             factor(Q2b, labels = c("Sell before\nweaning","Sell after\nweaning","Finish","Other")),
           data = df1, xlab = "Serology result", ylab = "Length of time rear dairy calves",
           main = "How long do you rear dairy bull & beef calves?")

And this is the plot from the code: