Is there a way to row bind multiple data frames contained in a list of lists with few lines of code and minimising memory use?
super_list
contains 20 sub lists, and each of those lists contains 100 data frames.
super_list[[a]][[i]]
can be concatenated with super_list[[b]][[j]]
only if j == m
.
I want to create 100 data frames, each one is made from row binding 20 data frames, one from each sub list of super_list
.
I'd like to avoid using a for loop to create 100 row binded dataframes, as this seems to require double the memory and seems inelegant. Is there a better way?
To clarify further, the first data frame would be
df[[1]] <- bind_rows(super_list[[1]][[1]], super_list[[2]][[1]], ..., super_list[[20]][[1]])
I found purrr does transpose, this is working for me
library(purrr)
super_list <- super_list %>% purrr::transpose()
super_list <- lapply(super_list, bind_rows)
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