使用新变量从长格式到宽格式

Question

我有长格式的数据

library(tidyverse)
n=3
set.seed(1)
d <- tibble(y=sample(0:1,n,T), 
            x1=sample(1:5,n,T),
            x2=sample(1:5,n,T),
            x3=sample(1:5,n,T))
d_long <- d |> pivot_longer(!y) 

# add new row with new variable x4
d_long_new <- q |> bind_rows(tibble(y=1,name="x4",value=10))

.

d_long_new


# A tibble: 10 x 3
       y name  value
   <dbl> <chr> <dbl>
 1     0 x1        1
 2     0 x2        3
 3     0 x3        3
 4     1 x1        2
 5     1 x2        2
 6     1 x3        1
 7     0 x1        5
 8     0 x2        3
 9     0 x3        5
10     1 x4       10

如何将数据转换为宽格式以获得此结果？

 A tibble: 4 x 5
      y    x1    x2    x3    x4
  <dbl> <int> <int> <int> <dbl>
1     0     1     3     3    NA
2     1     2     2     1    NA
3     0     5     3     5    NA
4     1    NA    NA    NA    10

当我尝试应用pivot_wider()函数时，我得到的东西与我预期的不同

d_long_new |> pivot_wider(names_from = name, values_from = value)

.

# A tibble: 2 x 5
      y x1        x2        x3        x4       
  <dbl> <list>    <list>    <list>    <list>   
1     0 <dbl [2]> <dbl [2]> <dbl [2]> <NULL>   
2     1 <dbl [1]> <dbl [1]> <dbl [1]> <dbl [1]>

Answer 1

您需要添加另一列来标识唯一行。

d_long_new |> 
  mutate(seq=row_number(), .by=name) |>
  pivot_wider(names_from = name, values_from = value) # |> select(-seq)

---

# A tibble: 4 x 6
      y   seq    x1    x2    x3    x4
  <dbl> <int> <dbl> <dbl> <dbl> <dbl>
1     0     1     1     3     3    NA
2     1     2     2     2     1    NA
3     0     3     5     3     5    NA
4     1     1    NA    NA    NA    10