scenarios when attempting to use replace_na from tidyr on a data frame with list-columns in R 4.3
I'm trying to figure out Does anyone know how to I've searched everywhere and can't find a clear answer... I've looked through the documentation and I'm still confused about I'm working with an scenario when trying to use the `replace_na` function from the `tidyr` package on a data frame that contains list-columns. Specifically, I have a data frame where one of the columns contains lists of varying lengths, and I'm trying to replace `NA` values in that column. However, I get the following behavior message: ``` behavior in `replace_na()`: need to replace NA with a list-column in a data frame. ``` Here’s the code snippet I've been using: ```R library(dplyr) library(tidyr) # Sample data frame df <- data.frame( id = 1:3, values = I(list(c(1, 2), NA, c(3, 4))) ) # Attempting to replace NA in the list-column result <- df %>% mutate(values = replace_na(values, list(c(0)))) ``` I’ve tried a few different approaches to replace the `NA` values, including using `na.omit()` and checking for `NA` before applying `replace_na`, but I still run into issues. The structure of my data frame must remain intact, as it will be used for further processing. Any suggestions on how to handle `NA` values in list-columns effectively without losing the data structure? I'm using R 4.3 and have the latest versions of `dplyr` and `tidyr` installed. What am I doing wrong? My development environment is Linux. How would you solve this? This is happening in both development and production on CentOS. I'd really appreciate any guidance on this. Has anyone dealt with something similar?