Tabulates frequencies for one or more categorical variable, including relative, and cumulative frequencies.
tab_frequencies(data, ...)a tdcmm model
Other categorical:
crosstab()
WoJ %>% tab_frequencies(employment)
#> # A tibble: 3 × 5
#> employment n percent cum_n cum_percent
#> * <chr> <int> <dbl> <int> <dbl>
#> 1 Freelancer 172 0.143 172 0.143
#> 2 Full-time 902 0.752 1074 0.895
#> 3 Part-time 126 0.105 1200 1
WoJ %>% tab_frequencies(employment, country)
#> # A tibble: 15 × 6
#> employment country n percent cum_n cum_percent
#> * <chr> <fct> <int> <dbl> <int> <dbl>
#> 1 Freelancer Austria 16 0.0133 16 0.0133
#> 2 Freelancer Denmark 85 0.0708 101 0.0842
#> 3 Freelancer Germany 29 0.0242 130 0.108
#> 4 Freelancer Switzerland 10 0.00833 140 0.117
#> 5 Freelancer UK 32 0.0267 172 0.143
#> 6 Full-time Austria 165 0.138 337 0.281
#> 7 Full-time Denmark 275 0.229 612 0.51
#> 8 Full-time Germany 139 0.116 751 0.626
#> 9 Full-time Switzerland 154 0.128 905 0.754
#> 10 Full-time UK 169 0.141 1074 0.895
#> 11 Part-time Austria 26 0.0217 1100 0.917
#> 12 Part-time Denmark 16 0.0133 1116 0.93
#> 13 Part-time Germany 5 0.00417 1121 0.934
#> 14 Part-time Switzerland 69 0.0575 1190 0.992
#> 15 Part-time UK 10 0.00833 1200 1