将列表转换为R中的数据框 [英] Converting list to dataframe in R

问题描述

所以我有一个列表，说:

So I have a list, say:

L1 <- list(1:10, 5:14, 10:19)

现在，我正在尝试将列表的输出作为数据帧获取，以使我的输出看起来像这样:

Now I am trying to get the output of the list as dataframe such that my output looks:

 1. 1  2  3  4  5  6  7  8  9 10
 2. 5  6  7  8  9 10 11 12 13 14
 3. 10 11 12 13 14 15 16 17 18 19

我正在使用

as.data.frame(L1, row.names = TRUE)

和

list_vect2df(L1)

但是他们都没有提供所需的输出

But none of them are giving the required output

推荐答案

您可以unlist并使用matrix，然后转换为data.frame.在这种情况下，似乎更快.

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

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