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This function returns a data.frame, where labelled variables (as stored in the safeframe object) are renamed. Note that the output is no longer a safeframe, but a regular data.frame. Unlabeled variables are unaffected.

Usage

labels_df(x)

Arguments

x

a safeframe object

Value

A data.frame of with variables renamed according to their labels.

Examples


x <- make_safeframe(cars,
  speed = "Miles per hour",
  dist = "Distance in miles"
)

## get a data.frame with variables renamed based on labels
labels_df(x)
#>    Miles per hour Distance in miles
#> 1               4                 2
#> 2               4                10
#> 3               7                 4
#> 4               7                22
#> 5               8                16
#> 6               9                10
#> 7              10                18
#> 8              10                26
#> 9              10                34
#> 10             11                17
#> 11             11                28
#> 12             12                14
#> 13             12                20
#> 14             12                24
#> 15             12                28
#> 16             13                26
#> 17             13                34
#> 18             13                34
#> 19             13                46
#> 20             14                26
#> 21             14                36
#> 22             14                60
#> 23             14                80
#> 24             15                20
#> 25             15                26
#> 26             15                54
#> 27             16                32
#> 28             16                40
#> 29             17                32
#> 30             17                40
#> 31             17                50
#> 32             18                42
#> 33             18                56
#> 34             18                76
#> 35             18                84
#> 36             19                36
#> 37             19                46
#> 38             19                68
#> 39             20                32
#> 40             20                48
#> 41             20                52
#> 42             20                56
#> 43             20                64
#> 44             22                66
#> 45             23                54
#> 46             24                70
#> 47             24                92
#> 48             24                93
#> 49             24               120
#> 50             25                85