Produce a dataframe to summarise ticked variables — ticked

Takes a dataframe and produces the number and percentage for ticked variables.

Usage

ticked_table(
  df = .,
  ...,
  group = .,
  sep = .,
  digits = 1,
  condense = FALSE,
  total = TRUE
)

Arguments

df: Data Frame
...: Variables to be summarised
group: Optional variable that defines the grouping
sep: Optional separator between columns for splitting variable into variable and scoring. See ?tidyr::separate for more information.
digits: Number of digits to the right of the decimal point
condense: should the variable and scoring columns in the output be condensed to one column? Only used when sep has been specified.
total: Logical indicating whether a total column should be created

Value

A tibble data frame summarising the data

Examples

df <- data.frame(
         pet_cat = sample(c("Ticked", ""), size = 100, replace = TRUE),
         pet_dog = sample(c("Ticked", ""), size = 100, replace = TRUE),
         pet_pig = sample(c("Ticked", ""), size = 100, replace = TRUE),
         group = sample(c("A", "B", "C"), size = 100, replace = TRUE)
 )

  ticked_table(df, pet_cat, pet_dog, group = group, sep = "_")
#> # A tibble: 3 × 6
#>   variable scoring A          B          C          Total     
#>   <chr>    <chr>   <chr>      <chr>      <chr>      <chr>     
#> 1 NA       NA      N = 30     N = 37     N = 33     N = 100   
#> 2 pet      cat     14 (46.7%) 18 (48.6%) 19 (57.6%) 51 (51.0%)
#> 3 pet      dog     15 (50.0%) 20 (54.1%) 19 (57.6%) 54 (54.0%)

  ticked_table(df, pet_pig, pet_dog)
#> # A tibble: 3 × 2
#>   scoring value     
#>   <chr>   <chr>     
#> 1 NA      N = 100   
#> 2 pet_pig 52 (52.0%)
#> 3 pet_dog 54 (54.0%)