👀 Views: 49 💬 Answers: 1 📅 Created: 2025-06-13

r tidyr pivot_wider R

I'm trying to figure out I'm building a feature where I'm trying to reshape a data frame using `tidyr::pivot_wider`, but I'm working with unexpected results when dealing with `NA` values... Specifically, I have a dataset where some rows contain `NA` in the column I am trying to spread into multiple columns. I expect the `NA`s to be filled with zeros, but instead, they are resulting in missing columns in the output. Here's a simplified version of my code: ```r library(tidyr) # Sample data frame df <- data.frame( id = c(1, 1, 2, 2), variable = c('A', 'B', 'A', 'B'), value = c(10, NA, 20, 30) ) # Trying to pivot wider wider_df <- df %>% pivot_wider( names_from = variable, values_from = value, values_fill = list(value = 0) # This is where I'm having issues ) ``` After running this code, I expected `wider_df` to look like this: ``` id A B 1 10 0 2 20 30 ``` However, I am getting: ``` id A B 1 10 <NA> 2 20 30 ``` I have confirmed that the `values_fill` parameter is correctly specified, but it seems that `NA` values in the original dataset are causing issues. I have also tried using `replace_na()` before the pivot, but it didn't resolve the question. Is there a different approach I should take or a configuration I might be missing to handle these `NA` values appropriately? I'm using R version 4.3.0 and `tidyr` version 1.2.0. Any help would be appreciated! Any suggestions would be helpful. My development environment is Ubuntu 20.04. Has anyone dealt with something similar?