两个因素中行的一些特殊排列

Question

我想以这样的方式排列 Reg 中的城市，如果 Reg 和 City 匹配，那么它应该排在该 Reg 的顶部，其余城市应按字母升序排列。下面给出了 long required 的摘录。

需要输出

  Reg City   Res Pop Pop1
   A    A Total 204   19
   A    A Rural 101   10
   A    A Urban 103    9
   A    a Total 109   11
   A    a Rural  55    5
   A    a Urban  54    6
   A    b Total  95    8
   A    b Rural  46    5
   A    b Urban  49    3
   B    B Total 325   24
   B    B Rural 166   10
   B    B Urban 159   14
   B    c Total 119    7
   B    c Rural  53    0
   B    c Urban  66    7
   B    d Total 108    9
   B    d Rural  61    6
   B    d Urban  47    3
   B    e Total  98    8
   B    e Rural  52    4
   B    e Urban  46    4

MWE MWE如下：

df6 <-
  structure(list(Reg = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("A", 
  "B"), class = "factor"), City = c("a", "a", "a", "A", "A", "A", 
  "b", "b", "b", "B", "B", "B", "c", "c", "c", "d", "d", "d", "e", 
  "e", "e"), Res = c("Total", "Rural", "Urban", "Total", "Rural", 
  "Urban", "Total", "Rural", "Urban", "Total", "Rural", "Urban", 
  "Total", "Rural", "Urban", "Total", "Rural", "Urban", "Total", 
  "Rural", "Urban"), Pop = c(109L, 55L, 54L, 204L, 101L, 103L, 
  95L, 46L, 49L, 325L, 166L, 159L, 119L, 53L, 66L, 108L, 61L, 47L, 
  98L, 52L, 46L), Pop1 = c(11L, 5L, 6L, 19L, 10L, 9L, 8L, 5L, 3L, 
  24L, 10L, 14L, 7L, 0L, 7L, 9L, 6L, 3L, 8L, 4L, 4L)), class = "data.frame", row.names = c(NA, 
  -21L), .Names = c("Reg", "City", "Res", "Pop", "Pop1"))

library(dplyr)
df6 %>%
  arrange(Reg, City)

我想使用 dplyr 中的 arrange_if 函数可能会获得所需的输出，但无法弄清楚。

Answer 1

是这样的吗？

library(dplyr)

df6 %>%
  mutate(match.RegCity = Reg==City) %>%
  arrange(Reg,                 #arrange by Reg first
          desc(match.RegCity), # then by whether Reg==City (TRUE before FALSE)
          City) %>%            # then by City
  select(-match.RegCity)

   Reg City   Res Pop Pop1
1    A    A Total 204   19
2    A    A Rural 101   10
3    A    A Urban 103    9
4    A    a Total 109   11
5    A    a Rural  55    5
6    A    a Urban  54    6
7    A    b Total  95    8
8    A    b Rural  46    5
9    A    b Urban  49    3
10   B    B Total 325   24
11   B    B Rural 166   10
12   B    B Urban 159   14
13   B    c Total 119    7
14   B    c Rural  53    0
15   B    c Urban  66    7
16   B    d Total 108    9
17   B    d Rural  61    6
18   B    d Urban  47    3
19   B    e Total  98    8
20   B    e Rural  52    4
21   B    e Urban  46    4

两个因素中行的一些特殊排列

Some special arrangement of rows within two factors

r

data-manipulation

dataframe

dplyr

data.table