如何为每个丢失的一个变量插入一个新行

Question

如何在

row

列编号中插入新行，同时填充其他列

NA

？

原始数据：

x <- c("a","a","a","a","a","a","a","a","a","b","b","b","b","b","b","b")
y <- c(1,1,2,4,4,4,7,7,11,1,3,3,3,6,6,8)
dat0 <- data.frame(x,y)  

>dat0
   x  y
1  a  1
2  a  1
3  a  2
4  a  4
5  a  4
6  a  4
7  a  7
8  a  7
9  a 11
10 b  1
11 b  3
12 b  3
13 b  3
14 b  6
15 b  6
16 b  8  

既定的输出：

> dat1
      x  y
1     a  1
2     a  1
3     a  2
4  <NA>  3
5     a  4
6     a  4
7     a  4
8  <NA>  5
9  <NA>  6
10    a  7
11    a  7
12 <NA>  8
13 <NA>  9
14 <NA> 10
15    a 11
16    b  1
17 <NA>  2
18    b  3
19    b  3
20    b  3
21 <NA>  4
22 <NA>  5
23    b  6
24    b  6
25 <NA>  7
26    b  8  

感谢您的帮助
    

有点长：

Answer 1

library(dplyr)

reframe(dat0, y=seq(min(y), max(y)), .by=x) %>%
  anti_join(dat0) %>%
  mutate(x2=x, x=NA) %>%
  full_join(dat0) %>%
  mutate(x2=coalesce(x, x2)) %>%
  arrange(x2, y) %>%
  select(-x2)

      x  y
1     a  1
2     a  1
3     a  2
4  <NA>  3
5     a  4
6     a  4
7     a  4
8  <NA>  5
9  <NA>  6
10    a  7
11    a  7
12 <NA>  8
13 <NA>  9
14 <NA> 10
15    a 11
16    b  1
17 <NA>  2
18    b  3
19    b  3
20    b  3
21 <NA>  4
22 <NA>  5
23    b  6
24    b  6
25 <NA>  7
26    b  8

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