Ensure the specific columns of a dataframe have a particular type.

Ensure the specific columns of a dataframe have a particular type.

type_ensure(df, ensure_nms, type = "numeric")

Arguments

df

A dataframe.

ensure_nms

Character vector giving names of df to ensure type

type

A string giving the type to ensure in columns ensure_nms

Value

A modified version of df, with columns (specified in ensure_nms) of type type.

See also

purrr::modify_at().

Other functions to operate on column types: type_vft()

Other functions for developers: check_crucial_names(), extract_insensitive(), flag_if_group(), is_multiple(), nms_try_rename(), rename_matches()

Examples

dfm <- tibble(
  w = c(NA, 1, 2),
  x = 1:3,
  y = as.character(1:3),
  z = letters[1:3]
)
dfm
#> # A tibble: 3 × 4
#>       w     x y     z    
#>   <dbl> <int> <chr> <chr>
#> 1    NA     1 1     a    
#> 2     1     2 2     b    
#> 3     2     3 3     c    
type_ensure(dfm, c("w", "x", "y"), "numeric")
#> Warning: y should be numeric. Type found: character
#> * Changing type (of y) accordingly.
#> # A tibble: 3 × 4
#>       w     x     y z    
#>   <dbl> <int> <dbl> <chr>
#> 1    NA     1     1 a    
#> 2     1     2     2 b    
#> 3     2     3     3 c    
type_ensure(dfm, c("w", "x", "y", "z"), "character")
#> Warning: w, x should be character. Type found: double, integer
#> * Changing type (of w, x) accordingly.
#> # A tibble: 3 × 4
#>   w     x     y     z    
#>   <chr> <chr> <chr> <chr>
#> 1 NA    1     1     a    
#> 2 1     2     2     b    
#> 3 2     3     3     c