👀 Views: 0 💬 Answers: 1 📅 Created: 2025-06-10

r dplyr data-wrangling R

I recently switched to I'm performance testing and I'm trying to figure out I'm working through a tutorial and I'm working on a project and hit a roadblock... I'm working with an scenario when trying to dynamically rename columns in a data frame using the `rename_with` function from the `dplyr` package (version 1.0.8). My goal is to replace spaces in column names with underscores. However, when I run my code, it doesn't seem to affect columns with special characters, and I end up getting an behavior regarding the non-existent columns. Here's what I've tried: ```r library(dplyr) # Sample data frame my_data <- data.frame(`Column One` = c(1, 2, 3), `Column@Two` = c(4, 5, 6)) # Attempting to rename columns by replacing spaces with underscores my_data <- my_data %>% rename_with(~ gsub(" ", "_", .), everything()) ``` Running this results in: ``` behavior in `rename_with()`: ! need to rename column `Column One`: `Column@Two` does not exist. ``` From my understanding, special characters like the '@' sign could be causing this scenario, but I am unsure how to handle it effectively. I also tried using `make.names()` to sanitize the names beforehand, but that still led to the same behavior. How can I ensure that all column names are renamed correctly regardless of special characters? Any guidance would be appreciated! For context: I'm using R on macOS. I recently upgraded to R LTS. What's the best practice here? This issue appeared after updating to R 3.10. I'm open to any suggestions. What's the correct way to implement this? This is for a CLI tool running on Windows 10.