Difficulty using `ggplot2` to create a faceted plot with uneven panel sizes in R
Hey everyone, I'm running into an issue that's driving me crazy. I'm collaborating on a project where I'm working on a project and hit a roadblock. I'm trying to create a faceted plot using `ggplot2` for a dataset where the number of observations per group varies significantly. The scenario arises when I use `facet_wrap()`, as some panels are much larger than others, affecting readability and presentation. Here’s a sample of my code: ```r library(ggplot2) # Sample data set.seed(42) data <- data.frame( group = rep(letters[1:5], times = c(50, 20, 10, 5, 1)), value = rnorm(86) ) # Basic faceted plot p <- ggplot(data, aes(x = value)) + geom_histogram(binwidth = 0.5) + facet_wrap(~ group) print(p) ``` When I run this code, the resulting plot has panels that are disproportionately sized due to the differing number of observations in each group. I’ve tried adjusting the `scales` argument within `facet_wrap()`, but that doesn’t seem to help with the aesthetic imbalance. I've also explored using `facet_grid()` to see if that would yield a better structure, but I encountered similar issues. Is there a way to create a faceted plot in `ggplot2` that ensures more uniform panel sizes, or any best practices for handling datasets with highly disparate group sizes? I'm using `ggplot2` version 3.3.5 and R version 4.1.1. Any suggestions or workarounds would be greatly appreciated! How would you solve this? This is my first time working with R 3.11. Am I approaching this the right way? I'm developing on Ubuntu 22.04 with R. Any suggestions would be helpful.