This function takes one or more vectors and pads them with NA values to the length of the longest vector.
Examples
pad_vectors(1:3, 1:5, 1:4)
#> [[1]]
#> [1] 1 2 3 NA NA
#>
#> [[2]]
#> [1] 1 2 3 4 5
#>
#> [[3]]
#> [1] 1 2 3 4 NA
#>
# supports list unpacking with `!!!` operator
pad_vectors(!!!list(1:3, 1:5, 1:4))
#> [[1]]
#> [1] 1 2 3 NA NA
#>
#> [[2]]
#> [1] 1 2 3 4 5
#>
#> [[3]]
#> [1] 1 2 3 4 NA
#>
# one use case is assembling vectors of different lengths into a dataframe
# for example, to see unique column values at a glance:
unique_vals <- dplyr::starwars %>%
dplyr::select(hair_color:eye_color) %>%
lapply(unique)
pad_vectors(!!!unique_vals) %>%
as.data.frame()
#> hair_color skin_color eye_color
#> 1 blond fair blue
#> 2 <NA> gold yellow
#> 3 none white, blue red
#> 4 brown white brown
#> 5 brown, grey light blue-gray
#> 6 black white, red black
#> 7 auburn, white unknown orange
#> 8 auburn, grey green hazel
#> 9 white green-tan, brown pink
#> 10 grey pale unknown
#> 11 auburn metal red, blue
#> 12 blonde dark gold
#> 13 <NA> brown mottle green, yellow
#> 14 <NA> brown white
#> 15 <NA> grey dark
#> 16 <NA> mottled green <NA>
#> 17 <NA> orange <NA>
#> 18 <NA> blue, grey <NA>
#> 19 <NA> grey, red <NA>
#> 20 <NA> red <NA>
#> 21 <NA> blue <NA>
#> 22 <NA> grey, blue <NA>
#> 23 <NA> grey, green, yellow <NA>
#> 24 <NA> yellow <NA>
#> 25 <NA> tan <NA>
#> 26 <NA> fair, green, yellow <NA>
#> 27 <NA> silver, red <NA>
#> 28 <NA> green, grey <NA>
#> 29 <NA> red, blue, white <NA>
#> 30 <NA> brown, white <NA>
#> 31 <NA> none <NA>