使用下面的代码,我设法获得了一个很好的combination:
tibble(
x = list(c(1, 2, 3), c(4,5,6))
) %>%
mutate(
combination =
x %>%
map(
.f = combn
, 2
) %>%
map(.f = t)
) %>%
unnest(combination)
# A tibble: 6 x 2
x combination[,1] [,2]
<list> <dbl> <dbl>
1 <dbl [3]> 1 2
2 <dbl [3]> 1 3
3 <dbl [3]> 2 3
4 <dbl [3]> 4 5
5 <dbl [3]> 4 6
6 <dbl [3]> 5 6然而,当使用View()函数观察时,我得到:

如何继续将combination显示为向量?即:

发布于 2021-01-02 05:29:08
我们可以在combn中指定simplify = FALSE来返回list,而不是强制matrix
library(purrr)
library(dplyr)
library(tidyr)
tbl1 <- tibble(
x = list(c(1, 2, 3), c(4,5,6))
) %>%
mutate(
combination =
x %>%
map(
.f = combn
, 2, simplify = FALSE
)) 现在,执行unnest
out <- tbl1 %>%
unnest(combination)
out
# A tibble: 6 x 2
# x combination
# <list> <list>
#1 <dbl [3]> <dbl [2]>
#2 <dbl [3]> <dbl [2]>
#3 <dbl [3]> <dbl [2]>
#4 <dbl [3]> <dbl [2]>
#5 <dbl [3]> <dbl [2]>
#6 <dbl [3]> <dbl [2]> 检查View

发布于 2021-01-02 06:29:07
下面是一个可能有帮助的data.table选项
library(data.table)
library(tidyr)
unnest(setDT(df)[, combination := lapply(x, function(v) combn(v, 2, simplify = FALSE))], combination)https://stackoverflow.com/questions/65533826
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