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rpurrrtibble

[R]give a column to each tibble in a list


Stating from the following tbl_list

tbl1 = tibble(a = c(1, 2), b = c(3, 4))
tbl2 = tibble(a = c(10, 20), b = c(30, 40))
tbl_list = list(tbl1, tbl2)
tbl_names = c("tbl1", "tbl2")
names(tbl_list) = tbl_names

My goal is

   e_tbl_list = list(tibble(a = c(1, 2), 
                         b = c(3, 4), 
                         tbl_name = c("tbl1", "tbl1")), 
                  tibble(a = c(10, 20), 
                         b = c(30, 40), 
                         tbl_name = c("tbl2", "tbl2"))
                  ) 

However , it doesn't work when using this code

 a_tbl_list = tbl_names %>% map(~ tbl_list[[.]] %>% mutate(tbl_name = .))

Solution

  • You can use purrr's imap :

    library(purrr)
    imap(tbl_list, ~.x %>% dplyr::mutate(tbl_name = .y))
    
    #$tbl1
    # A tibble: 2 x 3
    #      a     b tbl_name
    #  <dbl> <dbl> <chr>   
    #1     1     3 tbl1    
    #2     2     4 tbl1    
    
    #$tbl2
    # A tibble: 2 x 3
    #      a     b tbl_name
    #  <dbl> <dbl> <chr>   
    #1    10    30 tbl2    
    #2    20    40 tbl2    
    

    Or Map in base R :

    Map(cbind, tbl_list, tbl_name = names(tbl_list))
    #purrr equivalent
    #map2(tbl_list, names(tbl_list), cbind)
    

    Using lapply

    lapply(seq_along(tbl_list), function(x) 
           cbind(tbl_list[[x]], tbl_name = names(tbl_list)[x]))
    #purrr equivalent
    #map(seq_along(tbl_list), ~cbind(tbl_list[[.x]], tbl_name = names(tbl_list)[.x]))