Legacy name repair

Ensures all column names are unique using the approach found in tidyr 0.8.3 and 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"

Usage

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

Arguments

nms

Character vector of names

prefix

prefix Prefix to use for unnamed column

sep

Separator to use between name and unique suffix

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) { # \dontrun{
unnest(df, y)
} # }

# The new tidyverse standard:
unnest(df, y, names_repair = "universal")
#> New names:
#> • `x` -> `x...1`
#> • `x` -> `x...2`
#> # A tibble: 7 × 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 × 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