implementing plotting multiple ggplot2 layers where some layers are missing data in R 4.3
I tried several approaches but none seem to work. I'm relatively new to this, so bear with me. I'm working on a project and hit a roadblock. I'm trying to create a ggplot that overlays multiple layers, but I'm running into an scenario where certain layers don't render when their associated data has missing values. For example, I have a dataset where one of the columns, `value`, contains NAs for some groups. Here's a simplified version of my code: ```R library(ggplot2) # Sample data set.seed(123) data <- data.frame( group = rep(c('A', 'B', 'C'), each = 10), value = c(rnorm(10), NA, rnorm(9)) ) # First layer: bar plot bar_plot <- ggplot(data, aes(x = group, y = value)) + geom_bar(stat = 'identity') # Second layer: line plot line_plot <- bar_plot + geom_line(aes(group = group, color = group), position = position_dodge(width = 0.9)) # Display the plot print(line_plot) ``` While `geom_bar` handles the NAs gracefully and still plots the bars for groups with data, `geom_line` does not seem to render at all for group `B` where there's an NA value in `value`. I'm getting a warning that says "Removed 1 rows containing missing values (geom_path)". I want to keep the line for the other groups even if one of the groups has NAs. I tried using `na.omit()` on the dataset before plotting, but that removes the entire group from both layers, which is not what I want. Is there a way to plot lines for groups that have available data while ignoring NAs in a specific layer? Any help would be appreciated! This is part of a larger application I'm building. Any help would be greatly appreciated! My development environment is Windows. Any help would be greatly appreciated! What am I doing wrong?