How to handle non-finite values in ggplot2 with R 4.3.0?
I'm sure I'm missing something obvious here, but I'm trying to create a scatter plot using ggplot2 in R 4.3.0, but I'm working with an scenario when my dataset contains non-finite values (like NA, Inf, or -Inf). When I try to plot my data, I receive the following warning: `Warning: Removed 10 rows containing non-finite values (stat_sum).` I want to ensure that my plot handles these non-finite values gracefully, either by omitting them or by replacing them with a specific value. Here's a minimal example of my code: ```r library(ggplot2) # Creating a sample dataset with non-finite values set.seed(123) data_frame <- data.frame(x = rnorm(100), y = rnorm(100)) data_frame[c(5, 10, 15), 'y'] <- c(NA, Inf, -Inf) # Introduce non-finite values # Attempting to create a scatter plot p <- ggplot(data_frame, aes(x = x, y = y)) + geom_point() + labs(title = 'Scatter Plot with Non-Finite Values') print(p) ``` I've tried using `na.omit(data_frame)` before plotting, but it still doesn't resolve the scenario. I also considered using `is.finite()` to filter out non-finite values, but I'm not sure how to implement it effectively within the ggplot call. Can anyone suggest a way to handle this situation properly? It would be great if I could replace non-finite values with 0 instead of just removing them. Thanks in advance! For context: I'm using R on Windows. Any ideas what could be causing this?