Mutate All columns in a list of tibbles

Lets suppose I have the following list of tibbles:

a_list_of_tibbles <- list(
  a = tibble(a = rnorm(10)),
  b = tibble(a = runif(10)), 
  c = tibble(a = letters[1:10])
)

Now I want to map them all into a single dataframe/tibble, which is not possible due to the differing column types.

How would I go about this?

I have tried this, but I want to get rid of the for loop

for(i in 1:length(a_list_of_tibbles)){
  a_list_of_tibbles[[i]] <- a_list_of_tibbles[[i]] %>% mutate_all(as.character)
}

Then I run:

map_dfr(.x = a_list_of_tibbles, .f = as_tibble)

>Solution :

We could do the computation within the map – use across instead of the suffix _all (which is getting deprecated) to loop over the columns of the dataset

library(dplyr)
library(purrr)
map_dfr(a_list_of_tibbles, 
     ~.x %>%
       mutate(across(everything(), as.character) %>%
       as_tibble))

-output

# A tibble: 30 × 1
   a                 
   <chr>             
 1 0.735200825884485 
 2 1.4741501589461   
 3 1.39870958697574  
 4 -0.36046362308853 
 5 -0.893860999301402
 6 -0.565468636033674
 7 -0.075270267983768
 8 2.33534260196058  
 9 0.69667906338348  
10 1.54213170143702  
# … with 20 more rows