合并三个数据帧会导致错误：由于 R 中类型不兼容（列表/整数）而无法加入

Question

我有三个数据框。 我想将它们合并到它们的公共变量上——state_num 和year。

x=structure(list(x1 = list(NA, NA, NA, 0.0682483691857418, 0.0722250238759167, 
    NA, 0.0845019820471355, 0.0420250458245735, NA, 0.068867373870291), 
    x2 = list(NA, NA, NA, 0.0214527829310878, 0.0116780721193381, 
        NA, 0.0214444646549374, 0.0165359954773674, NA, 0.0247734009402538), 
    state_num = list(1, 2, 4, 5, 6, 8, 9, 10, 11, 12), year = list(
        2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 
        2014L, 2014L)), row.names = c(NA, 10L), class = "data.frame")

y = structure(list(y1 = list(NA, NA, NA, 0, 0.0127529380732448, NA, 
    0.00653696511520211, 0.0233385543680627, NA, 0), y2 = list(
    NA, NA, NA, 0, 0.00484594815594003, NA, 0.00380286437912703, 
    0.0118211932846739, NA, 0), state_num = list(1, 2, 4, 5, 
    6, 8, 9, 10, 11, 12), year = list(2014L, 2014L, 2014L, 2014L, 
    2014L, 2014L, 2014L, 2014L, 2014L, 2014L)), row.names = c(NA, 
10L), class = "data.frame")

z = structure(list(state = c("Alaska", "Alaska", "Alaska", "Alaska", 
"Alaska", "Alaska", "Alaska", "Alaska", "Alaska", "Alabama"), 
    state_num = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L), year = c(2014L, 
    2015L, 2016L, 2017L, 2018L, 2019L, 2020L, 2021L, 2022L, 2014L
    ), z1 = 1:10, z2 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L), z3 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), row.names = c(NA, 
10L), class = "data.frame")

我尝试像这样合并它们：

result = full_join(x,y) %>% full_join(z)

但是我收到以下错误：

Error in `full_join()`:
! Can't join `x$state_num` with `y$state_num` due to incompatible types.
i `x$state_num` is a <list>.
i `y$state_num` is a <integer>.

有谁知道我做错了什么或更好，如何解决问题？

Answer 1

如错误中所述，您已将列表嵌套为

x

中的列。

也许你可以尝试一下

Reduce(
  full_join,
  lapply(
    list(x, y, z),
    \(d) list2DF(lapply(d, unlist))
  )
)

这给出了

           x1         x2 state_num year          y1          y2   state z1 z2
1          NA         NA         1 2014          NA          NA Alabama 10  0
2          NA         NA         2 2014          NA          NA  Alaska  1  0
3          NA         NA         4 2014          NA          NA    <NA> NA NA
4  0.06824837 0.02145278         5 2014 0.000000000 0.000000000    <NA> NA NA
5  0.07222502 0.01167807         6 2014 0.012752938 0.004845948    <NA> NA NA
6          NA         NA         8 2014          NA          NA    <NA> NA NA
7  0.08450198 0.02144446         9 2014 0.006536965 0.003802864    <NA> NA NA
8  0.04202505 0.01653600        10 2014 0.023338554 0.011821193    <NA> NA NA
9          NA         NA        11 2014          NA          NA    <NA> NA NA
10 0.06886737 0.02477340        12 2014 0.000000000 0.000000000    <NA> NA NA
11         NA         NA         2 2015          NA          NA  Alaska  2  0
12         NA         NA         2 2016          NA          NA  Alaska  3  0
13         NA         NA         2 2017          NA          NA  Alaska  4  0
14         NA         NA         2 2018          NA          NA  Alaska  5  0
15         NA         NA         2 2019          NA          NA  Alaska  6  0
16         NA         NA         2 2020          NA          NA  Alaska  7  0
17         NA         NA         2 2021          NA          NA  Alaska  8  0
18         NA         NA         2 2022          NA          NA  Alaska  9  0
   z3
1   0
2   0
3  NA
4  NA
5  NA
6  NA
7  NA
8  NA
9  NA
10 NA
11  0
12  0
13  0
14  0
15  0
16  0
17  0
18  0