Legacy name repair

Ensures all column names are unique using the approach found in tidyr 0.8.3 are earlier. Only use this function if you want to preserve the naming strategy, otherwise you're better off adopting the new tidyverse standard with name_repair = "universal"

tidyr_legacy(nms, prefix = "V", sep = "")

Arguments

prefix	prefix Prefix to use for unnamed column
sep	Separator to use between name and unique suffix
nm	Character vector of names

Examples

df <- tibble(x = 1:2, y = list(tibble(x = 3:5), tibble(x = 4:7)))

# Doesn't work because it would produce a data frame with two
# columns called x
if (FALSE) unnest(df, y)

# The new tidyverse standard:
unnest(df, y, names_repair = "universal")
#> New names:
#> * x -> x...1
#> * x -> x...2
#> # A tibble: 7 x 2
#>   x...1 x...2
#>   <int> <int>
#> 1     1     3
#> 2     1     4
#> 3     1     5
#> 4     2     4
#> 5     2     5
#> 6     2     6
#> 7     2     7

# The old tidyr approach
unnest(df, y, names_repair = tidyr_legacy)
#> # A tibble: 7 x 2
#>       x    x1
#>   <int> <int>
#> 1     1     3
#> 2     1     4
#> 3     1     5
#> 4     2     4
#> 5     2     5
#> 6     2     6
#> 7     2     7