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.
describe_cat(data, ...)
a tdcmm model
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
Other descriptives:
describe()
,
tab_percentiles()
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