These functions restore selection of keys using corresponding
scoped variant of select. .funs
argument can be used to rename some keys (without touching actual keys)
before restoring.
df <- mtcars %>% dplyr::as_tibble() %>% key_by(vs, am, disp)
# Just restore all keys
df %>% restore_keys_all()
#> # A keyed object. Keys: vs, am, disp
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # … with 22 more rows
# Restore all keys with renaming and without touching actual keys
df %>% restore_keys_all(.funs = toupper)
#> # A keyed object. Keys: vs, am, disp
#> # A tibble: 32 × 14
#> mpg cyl disp hp drat wt qsec vs am gear carb VS AM
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 0 1
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 0 1
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 1 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 1 0
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 0 0
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 1 0
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 0 0
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 1 0
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 1 0
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 1 0
#> # … with 22 more rows, and 1 more variable: DISP <dbl>
# Restore with renaming and removing
df %>%
restore_keys_all(.funs = toupper, .remove = TRUE)
#> # A keyed object. Keys: there are no keys.
#> # A tibble: 32 × 14
#> mpg cyl disp hp drat wt qsec vs am gear carb VS AM
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 0 1
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 0 1
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 1 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 1 0
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 0 0
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 1 0
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 0 0
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 1 0
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 1 0
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 1 0
#> # … with 22 more rows, and 1 more variable: DISP <dbl>
# Restore with renaming, removing and unkeying
df %>%
restore_keys_all(.funs = toupper, .remove = TRUE, .unkey = TRUE)
#> # A tibble: 32 × 14
#> mpg cyl disp hp drat wt qsec vs am gear carb VS AM
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 0 1
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 0 1
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 1 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 1 0
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 0 0
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 1 0
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 0 0
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 1 0
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 1 0
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 1 0
#> # … with 22 more rows, and 1 more variable: DISP <dbl>
# Restore with renaming keys satisfying the predicate
df %>%
restore_keys_if(rlang::is_integerish, .funs = toupper)
#> # A keyed object. Keys: vs, am, disp
#> # A tibble: 32 × 13
#> mpg cyl disp hp drat wt qsec vs am gear carb VS AM
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 0 1
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 0 1
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 1 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 1 0
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 0 0
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 1 0
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 0 0
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 1 0
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 1 0
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 1 0
#> # … with 22 more rows
# Restore with renaming specified keys
df %>%
restore_keys_at(c("vs", "disp"), .funs = toupper)
#> # A keyed object. Keys: vs, am, disp
#> # A tibble: 32 × 13
#> mpg cyl disp hp drat wt qsec vs am gear carb VS DISP
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 0 160
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 0 160
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 1 108
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 1 258
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 0 360
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 1 225
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 0 360
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 1 147.
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 1 141.
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 1 168.
#> # … with 22 more rows