Convert numeric variable to factor

These are convenience functions for use with license data. They are wrappers for factor with specified values.

factor_var(x, levels, labels, suppress_check = TRUE, ...)

factor_age(x, levels = 1:7, labels = c("0-17", "18-24", "25-34",
  "35-44", "45-54", "55-64", "65+"), ...)

factor_sex(x, levels = 1:2, labels = c("Male", "Female"), ...)

factor_res(x, levels = c(1, 0), labels = c("Resident", "Nonresident"),
  ...)

factor_R3(x, levels = 1:4, labels = c("Carry", "Renew", "Reactivate",
  "Recruit"), ...)

Arguments

x	numeric: Input numeric vector
levels	numeric: Levels for input numeric vector
labels	labels: Labels to use for output factor vector
suppress_check	logical: If TRUE, does not print a coding summary
...	Other arguments passed to factor

See also

Other functions for working with category variables: df_factor_var, label_categories, recode_agecat

Examples

library(dplyr)
data(history)
x <- history %>% mutate(
    R3 = factor_R3(R3, suppress_check = FALSE),
    sex = factor_sex(sex, suppress_check = FALSE),
    res = factor_res(res, suppress_check = FALSE)
)
#> # A tibble: 5 x 3
#>   new          old     n
#>   <fct>      <int> <int>
#> 1 Carry          1 10476
#> 2 Renew          2 21134
#> 3 Reactivate     3  8941
#> 4 Recruit        4 13534
#> 5 <NA>          NA 37821
#> # A tibble: 3 x 3
#>   new      old     n
#>   <fct>  <int> <int>
#> 1 Male       1 71930
#> 2 Female     2 18474
#> 3 <NA>      NA  1502
#> # A tibble: 2 x 3
#>   new           old     n
#>   <fct>       <int> <int>
#> 1 Resident        1 71345
#> 2 Nonresident     0 20561