R tidyr separate_longer_delim 将字符串拆分为行

separate_longer_delim(data, cols, delim, ...)

separate_longer_position(data, cols, width, ..., keep_empty = FALSE)

df <- tibble(id = 1:4, x = c("x", "x y", "x y z", NA))
df %>% separate_longer_delim(x, delim = " ")
#> # A tibble: 7 × 2
#>      id x    
#>   <int> <chr>
#> 1     1 x    
#> 2     2 x    
#> 3     2 y    
#> 4     3 x    
#> 5     3 y    
#> 6     3 z    
#> 7     4 NA   

# You can separate multiple columns at once if they have the same structure
df <- tibble(id = 1:3, x = c("x", "x y", "x y z"), y = c("a", "a b", "a b c"))
df %>% separate_longer_delim(c(x, y), delim = " ")
#> # A tibble: 6 × 3
#>      id x     y    
#>   <int> <chr> <chr>
#> 1     1 x     a    
#> 2     2 x     a    
#> 3     2 y     b    
#> 4     3 x     a    
#> 5     3 y     b    
#> 6     3 z     c    

# Or instead split by a fixed length
df <- tibble(id = 1:3, x = c("ab", "def", ""))
df %>% separate_longer_position(x, 1)
#> # A tibble: 5 × 2
#>      id x    
#>   <int> <chr>
#> 1     1 a    
#> 2     1 b    
#> 3     2 d    
#> 4     2 e    
#> 5     2 f    
df %>% separate_longer_position(x, 2)
#> # A tibble: 3 × 2
#>      id x    
#>   <int> <chr>
#> 1     1 ab   
#> 2     2 de   
#> 3     2 f    
df %>% separate_longer_position(x, 2, keep_empty = TRUE)
#> # A tibble: 4 × 2
#>      id x    
#>   <int> <chr>
#> 1     1 ab   
#> 2     2 de   
#> 3     2 f    
#> 4     3 NA