convert data frames in nested lists to large data frame [duplicate]

Question

I have a large nested List with 3 levels: the elements are data frames with the same name.

List:

[[1]]

[[1]][[1]]

[[1]][[1]][[1]]

"name1" "name2" "name3" "name4" "name5"

numeric1 numeric2 string3 string4 string5

[[1]][[1]][[2]]

"name1" "name2" "name3" "name4" "name5"

numeric1 numeric2 string3 string4 string5

[[1]][[1]][[3]]

"name1" "name2" "name3" "name4" "name5"

numeric1 numeric2 string3 string4 string5

How I can rbind all data frames to one large data frame?

manually it works this way: rbind(list[[1]][[1]][[1]], list[[1]][[1]][[2]],....)

(Why we need a reproducible example?) Because it's unclear whether your list has all of its values in the first sub-sublist of the first sublist. Might be a simple as do.call(rbind, listName[[1]][[1]] ), .... but maybe not. — IRTFM
– IRTFM, Commented Jun 15, 2016 at 18:53
@dom Take a look at this Converting nested list to dataframe — akash87
– akash87, Commented Jun 15, 2016 at 18:57

dom · Accepted Answer · 2016-06-15 18:56:44Z

-3

ldply(do.call("c",do.call("c",list)), data.frame)

answered Jun 15, 2016 at 18:56

dom

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1 Comment

Roman Luštrik Over a year ago

Your answer would benefit immensely if you added some comment about what your code is doing and proof that this is indeed the correct solution.

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