Tidy method to split multiple columns using tidyr::separate

Question

I have a data frame like so:

df <- structure(list(A = c(\"3 of 5\", \"1 of 2\", \"1 of 3\", \"1 of 3\", 
\"3 of 4\", \"2 of 7\"), B = c(\"2 of 2\", \"2 of         


        

Answer 1

Could try:

library(tidyverse)

names(df) %>%
  map(
    function(x) 
      df %>% 
      select(x) %>% 
      separate(x, 
               into = paste0(x, c("_attempted", "_landed")), 
               sep = " of ")
    ) %>%
  bind_cols()

Output:

# A tibble: 6 x 10
  A_attempted A_landed B_attempted B_landed C_attempted C_landed D_attempted D_landed E_attempted E_landed
                                                        
1 3           5        2           2        10          21       0           0        8           16      
2 1           2        2           4        3           14       0           0        3           15      
3 1           3        0           1        11          34       0           0        10          32      
4 1           3        0           0        10          35       0           0        6           28      
5 3           4        0           0        16          53       0           0        13          49      
6 2           7        0           0        17          62       0           0        9           48      

As OP suggests we can indeed avoid the last step with map_dfc:

names(df) %>% 
  map_dfc(~ df %>% 
             select(.x) %>% 
             separate(.x, 
                      into = paste0(.x, c("_attempted", "_landed")), 
                      sep = " of ")
           )