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Better type conversion

Source: R/type_conversion.R
type_conversion.Rd

It improves the performance of converting several types of variables.

Usage

as_character(.x)

as_numeric(.x)

Arguments

.x

A vector or matrix.

Examples

lifeexp %>%
  dplyr::mutate(
    region_chr = as_character(region),
    region_num = as_numeric(region),
    region_fct = haven::as_factor(region),
    .keep = "used"
  )
#> # A tibble: 68 × 4
#>    region               region_chr       region_num region_fct      
#>    <dbl+lbl>            <chr>                 <dbl> <fct>           
#>  1 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  2 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  3 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  4 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  5 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  6 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  7 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  8 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#>  9 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#> 10 1 [Europe & C. Asia] Europe & C. Asia          1 Europe & C. Asia
#> # ℹ 58 more rows