One-way tabulate table

Returned as tibble, with percentages

tab(vctr, .drop = FALSE)

Arguments

vctr

a vector to tabulate

.drop

Handling of factor levels that don't appear in the data, passed on to group_by().

For count(): if FALSE will include counts for empty groups (i.e. for levels of factors that don't exist in the data).

For add_count(): deprecated since it can't actually affect the output.

Value

tibble with columns value, n, perc

Examples

vctr <- sample(LETTERS[1:5], 1000, TRUE)
tab(vctr)
#> # A tibble: 5 × 3
#>   value n          perc      
#>   <chr> <formttbl> <formttbl>
#> 1 A     210        21.0%     
#> 2 D     209        20.9%     
#> 3 B     200        20.0%     
#> 4 E     191        19.1%     
#> 5 C     190        19.0%     
# Includes NAs count
vctr <- sample(c(LETTERS[1:5], NA), 1000, TRUE)
tab(vctr)
#> # A tibble: 6 × 3
#>   value n          perc      
#>   <chr> <formttbl> <formttbl>
#> 1 B     179        17.9%     
#> 2 A     176        17.6%     
#> 3 C     171        17.1%     
#> 4 NA    169        16.9%     
#> 5 E     155        15.5%     
#> 6 D     150        15.0%     
# For factors, by default keeps levels not present in data
vctr <- factor(
  x = sample(c(LETTERS[1:5], NA), 1000, TRUE),
  levels = c(LETTERS[1:5], "Levels", "not present", "in data")
)
tab(vctr)
#> # A tibble: 9 × 3
#>   value       n          perc      
#>   <fct>       <formttbl> <formttbl>
#> 1 NA          183        18.3%     
#> 2 C           174        17.4%     
#> 3 A           166        16.6%     
#> 4 D           165        16.5%     
#> 5 E           161        16.1%     
#> 6 B           151        15.1%     
#> 7 Levels      0          0.0%      
#> 8 not present 0          0.0%      
#> 9 in data     0          0.0%