How to implement guide with using purrr's map_dfr to combine nested lists into a data frame in r 4.3
I'm trying to configure I'm working with a scenario while trying to combine a list of data frames with nested lists using `purrr::map_dfr` in R 4.3. I have a list where each element is a data frame, and some of these data frames contain nested lists that I want to flatten before combining them into a single data frame. Here’s a simplified version of what I’m working with: ```r library(dplyr) library(purrr) # Creating a sample list of data frames, each with a nested list column nested_list_df <- list( data.frame(id = 1:2, info = I(list(list(a = 1, b = 2), list(a = 3, b = 4)))), data.frame(id = 3:4, info = I(list(list(a = 5, b = 6), list(a = 7, b = 8)))) ) ``` I want to combine these data frames into a single data frame where the nested lists in the `info` column are flattened. I attempted the following code: ```r combined_df <- map_dfr(nested_list_df, ~mutate(.x, info = map(info, ~as.data.frame(.x)))) ``` However, this results in an behavior: `behavior in UseMethod("as.data.frame") : no applicable method for 'as.data.frame' applied to an object of class "list"`. This suggests that the `info` column is not being flattened properly before trying to convert it into a data frame. I’ve also tried using `unnest` from `tidyr` but encountered the same scenario. How can I properly flatten the nested lists and combine them into a single data frame while maintaining their structure? Any suggestions or examples would be greatly appreciated. I'm working with R in a Docker container on Ubuntu 22.04. Is there a simpler solution I'm overlooking?