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Describe categorical variables

Source: R/describe.R
describe_cat.Rd

Describe categorical variables by N, number of unique values, and mode. Note that in case of multiple modes, the first mode by order of values is chosen.

Usage

describe_cat(data, ...)

Arguments

data

a tibble or a tdcmm model

...

Variables to describe (column names). Leave empty to describe all categorical variables in data.

Value

a tdcmm model

Details

If no variables are specified, all categorical (character or factor) variables are described.

  • N: number of valid cases (i.e., all but missing)

  • Missing: number of NA cases

  • Unique: number of unique categories in a given variable, without Missing

  • Mode: mode average (if multiple modes exist, first mode by order of values is returned)

  • Mode_N: number of cases reflecting the Mode

See also

Other descriptives: describe(), tab_percentiles()

Examples

WoJ %>% describe_cat(reach, employment, temp_contract)
#> # A tibble: 3 × 6
#>   Variable          N Missing Unique Mode      Mode_N
#> * <chr>         <int>   <int>  <dbl> <chr>      <int>
#> 1 reach          1200       0      4 National     617
#> 2 employment     1200       0      3 Full-time    902
#> 3 temp_contract  1001     199      2 Permanent    948
fbposts %>% describe_cat(type)
#> # A tibble: 1 × 6
#>   Variable     N Missing Unique Mode  Mode_N
#> * <chr>    <int>   <int>  <dbl> <chr>  <int>
#> 1 type       270       0      4 photo    162