假设我有以下格式的嵌套小标题:

# A tibble: 3 x 3
AccountNumber Tibble1          Tibble2
         <int> <list>           <list>
1             1 <tibble [1 x 3]> <tibble [1 x 3]>
2             2 <tibble [1 x 3]> <tibble [1 x 3]>
3             3 <tibble [1 x 3]> <tibble [1 x 3]>


这可以通过以下代码生成:

library(tidyverse)

tibble1 <- tibble(AccountNumber = 1:3, A_1 = 1, B_1 = 2, C_1 = 3) %>%
  group_by(AccountNumber) %>%
  nest(.key = "Tibble1")

tibble2 <- tibble(AccountNumber = 1:3, A_2 = 4, B_2 = 5, C_2 = 6) %>%
  group_by(AccountNumber) %>%
  nest(.key = "Tibble2")

tibble_joined <- left_join(tibble1, tibble2, by = "AccountNumber")



我如何通过将Tibble1除以Tibble 2来创建第三小块列表?


本质上,我想要以下格式:

# A tibble: 3 x 3
AccountNumber Tibble1          Tibble2            Tibble3(Tibble2 / Tibble1)
         <int> <list>           <list>            <list>
1             1 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>
2             2 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>
3             3 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>


...其中Tibble3只是Tibble 2与Tibble 1之比:


每列
每个帐号


到目前为止,我的尝试是:

tibble_joined %>%
  group_by(AccountNumber) %>%
  mutate(Tibble3 = tibble(tibble2 / tibble1))




tibble_joined %>%
  group_by(AccountNumber) %>%
  summarise(Tibble3 = tibble2 / tibble1)


两者都给出此错误:

Error in mutate_impl(.data, dots) :
  Evaluation error: non-numeric argument to binary operator.


我已经尝试找到解决该问题的理想方法,但是我什么也找不到。

================================================== =======================

我完全知道可以通过以下方法解决我的问题:

tibble_Main %>%
  group_by(AccountNumber) %>%
  unnest() %>%
  mutate(A_Ratio = A_2 / A_1,
         B_Ratio = B_2 / B_1,
         C_Ratio = C_2 / C_2)


...将生成以下内容:

# A tibble: 3 x 10
# Groups: AccountNumber [3]
  AccountNumber   A_1   B_1   C_1   A_2   B_2   C_2 A_Ratio B_Ratio C_Ratio
          <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>   <dbl>   <dbl>
1             1  1.00  2.00  3.00  4.00  5.00  6.00    4.00    2.50    1.00
2             2  1.00  2.00  3.00  4.00  5.00  6.00    4.00    2.50    1.00
3             3  1.00  2.00  3.00  4.00  5.00  6.00    4.00    2.50    1.00


...但是这似乎很麻烦,并且会引起许多专栏的困扰。

最佳答案

我们可以使用map2中的purrr将一个tibble除以另一个

library(purrr)
res <- tibble_joined %>%
          mutate(Tibble3 = map2(Tibble1, Tibble2,  ~ as_tibble( .y/.x) %>%
                             rename_all(funs(sub('_.*', "_ratio", .)))))
res
# A tibble: 3 x 4
#   AccountNumber Tibble1          Tibble2          Tibble3
#          <int> <list>           <list>           <list>
#1             1 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>
#2             2 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>
#3             3 <tibble [1 x 3]> <tibble [1 x 3]> <tibble [1 x 3]>

res$Tibble3
#[[1]]
# A tibble: 1 x 3
#  A_ratio B_ratio C_ratio
#    <dbl>   <dbl>   <dbl>
#1    4.00    2.50    2.00

#[[2]]
# A tibble: 1 x 3
#  A_ratio B_ratio C_ratio
#    <dbl>   <dbl>   <dbl>
#1    4.00    2.50    2.00

#[[3]]
# A tibble: 1 x 3
#  A_ratio B_ratio C_ratio
#    <dbl>   <dbl>   <dbl>
#1    4.00    2.50    2.00


注意:purrrtidyverse软件包的一部分

09-03 18:05