So I have a list, say:
L1 <- list(1:10, 5:14, 10:19)
Now I am trying to get the output of the list as dataframe such that my output look
You can unlist and use matrix, then converting to data.frame. It seems to be faster for this case.
as.data.frame(matrix(unlist(L1),nrow=length(L1),byrow=TRUE)
microbenchmark::microbenchmark(
a= map_dfr(L1, ~as.data.frame(t(.x))),
b= do.call(rbind, lapply(L1, function(x) as.data.frame(t(x)))),
c= as.data.frame(t(as.data.frame(L1))),
d= data.table::transpose(as.data.frame(L1)),
e= as.data.frame(matrix(unlist(L1),nrow=length(L1),byrow=TRUE)),
times = 100,unit = "relative")
# Unit: relative
# expr min lq mean median uq max neval
# a 9.146545 8.548656 8.859087 8.859051 9.449237 7.265274 100
# b 13.879833 11.523000 11.433790 10.924726 10.797251 24.012107 100
# c 12.719835 10.635809 10.442108 10.229913 10.259789 7.020377 100
# d 10.439881 9.143530 9.205734 8.859026 9.176125 6.624454 100
# e 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 100