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,
  total = TRUE,
  n = FALSE,
  boolean = FALSE,
  condense = FALSE
)

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
total: Logical indicating whether a total column should be created
n: Logical indicating whether the second header row should be converted into a row of denominators. Helpful for when ticked_table() forms part of a larger table. Default is FALSE
boolean: Logical indicating whether the variables are already coded as TRUE/FALSE or 0/1. Default is FALSE
condense: condense = TRUE is deprecated, use condense() instead.

Value

A tibble data frame summarising the data

Examples

  ticked_table(outcome, pet_cat, pet_dog, group = group, sep = "_")
#> # A tibble: 3 × 5
#>   variable scoring A          B           Total      
#>   <chr>    <chr>   <chr>      <chr>       <chr>      
#> 1 NA       NA      N = 276    N = 324     N = 600    
#> 2 pet      cat     48 (17.4%) 75 (23.1%)  123 (20.5%)
#> 3 pet      dog     96 (34.8%) 105 (32.4%) 201 (33.5%)

  ticked_table(outcome, pet_fish, pet_dog)
#> # A tibble: 3 × 2
#>   scoring  value      
#>   <chr>    <chr>      
#> 1 NA       N = 600    
#> 2 pet_fish 99 (16.5%) 
#> 3 pet_dog  201 (33.5%)

  ticked_table(outcome, pet_fish, pet_dog, sep = "_", n = TRUE)
#> # A tibble: 3 × 3
#>   variable scoring value      
#>   <chr>    <chr>   <chr>      
#> 1 pet      n       600        
#> 2 pet      fish    99 (16.5%) 
#> 3 pet      dog     201 (33.5%)