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Unexpected behavior in `ggplot2` when layering different geoms with different data frames

πŸ‘€ Views: 0 πŸ’¬ Answers: 1 πŸ“… Created: 2025-08-21
ggplot2 data-visualization geom R

I'm testing a new approach and Hey everyone, I'm running into an issue that's driving me crazy. I'm trying to create a plot using `ggplot2` where I want to overlay points from one data frame onto a line from another data frame. However, I'm facing unexpected issues when I try to add these layers. The code I've written is as follows: ```R library(ggplot2) library(dplyr) # Sample data frame for lines line_data <- data.frame(x = 1:10, y = cumsum(rnorm(10))) # Sample data frame for points point_data <- data.frame(x = 1:10, y = rnorm(10, mean = 5)) # Create the plot plot <- ggplot() + geom_line(data = line_data, aes(x = x, y = y), color = 'blue') + geom_point(data = point_data, aes(x = x, y = y), color = 'red') print(plot) ``` However, when I run this code, I expect to see a blue line representing the cumulative sum and red points scattered around a higher mean, but the points do not seem to appear properly on the plot. In fact, I get the following warning message: ``` Warning: Removed 10 rows containing missing values (geom_point). ``` I suspect the issue might be related to the `NA` values being generated in the `point_data` due to the random normal generation. I tried using `na.omit(point_data)` before plotting, but it doesn't resolve the issue. Additionally, when I inspect `point_data`, I notice that there are no `NA` values, yet the warning persists. I even added a `scale_y_continuous()` to adjust my y-limits, but still no luck. Here’s what I tried: ```R # Checking for NAs sum(is.na(point_data$y)) # Should return 0 # Adjusting the y limits plot <- ggplot() + geom_line(data = line_data, aes(x = x, y = y), color = 'blue') + geom_point(data = point_data, aes(x = x, y = y), color = 'red') + scale_y_continuous(limits = c(0, 10)) print(plot) ``` I'm using `ggplot2` version 3.3.5 and R version 4.1.2. What could be causing these `NA` values in the plot layer, and how can I fix this issue? Any insights would be greatly appreciated! What am I doing wrong? Any suggestions would be helpful. I'd really appreciate any guidance on this.