implementing `ggplot2` when creating faceted plots with varying y-axis limits in R
Can someone help me understand I'm upgrading from an older version and I'm reviewing some code and I've been struggling with this for a few days now and could really use some help... I'm relatively new to this, so bear with me. I'm trying to create a faceted plot using `ggplot2` where each facet has a different y-axis limit based on the data being visualized. However, I noticed that the y-axis limits are being shared across all facets, which is not the behavior I expected. Here's a simplified version of my code: ```r library(ggplot2) # Sample data set.seed(42) data <- data.frame( group = rep(letters[1:3], each = 20), value = c(rnorm(20, mean = 5), rnorm(20, mean = 15), rnorm(20, mean = 25)) ) # Attempt to create a faceted plot p <- ggplot(data, aes(x = value)) + geom_histogram(bins = 10) + facet_wrap(~ group, scales = 'free_y') print(p) ``` Despite using `scales = 'free_y'`, the plot still shows the same y-axis limits for each facet. I've also tried using the `ylab()` and `ylim()` functions to manually set the limits, but that doesn't seem to work as intended either. Is there a specific approach I need to follow to ensure that each facet can have its own y-axis range based on its data? I'm currently using `ggplot2` version 3.3.6 and R version 4.3.1. Any help would be greatly appreciated! This is part of a larger service I'm building. How would you solve this? My development environment is macOS. Has anyone else encountered this? This is for a web app running on Linux. Cheers for any assistance! This is happening in both development and production on Ubuntu 20.04. Cheers for any assistance! This is part of a larger mobile app I'm building. Is there a better approach?