Converting all lists in global environment to dataframes

Question

I have these lists in the global environment:

list_1 <- list(data.frame(A = 1:3, B = 4:6), data.frame(A = 7:9, B = 10:12))
list_2 <- list(data.frame(X = 1:2, Y = 3:4), data.frame(X = 5:6, Y = 7:8))
list_3 <- list(data.frame(M = 1:4, N = 5:8), data.frame(M = 9:12, N = 13:16))

I would like to turn each of these lists into a dataframe, e.g. here is how I would have done this manually:

list_1 = do.call(rbind.data.frame, list_1)
list_2 = do.call(rbind.data.frame, list_2)
list_3 = do.call(rbind.data.frame, list_3)

Is it possible to do this with a for loop? Normally in a for loop, I store the output of each iteration to a list itself, whereas this time I want to make individual data frames.

Answer 1

You can try

list2env(
  lapply(
    mget(ls(pattern = "^list_\\d+")),
    \(x) do.call(rbind, x)
  ),
  envir = .GlobalEnv
)

and you can check

> mget(ls(pattern = "^list_\\d+"))
$list_1
  A  B
1 1  4
2 2  5
3 3  6
4 7 10
5 8 11
6 9 12

$list_2
  X Y
1 1 3
2 2 4
3 5 7
4 6 8

$list_3
   M  N
1  1  5
2  2  6
3  3  7
4  4  8
5  9 13
6 10 14
7 11 15
8 12 16