Produce a data frame to summarise discrete variables coded as Yes/No

Takes a data frame and produces the number and percentage for yes/no variables. Note that the denominator currently always excludes missing values.

Usage

yn_table(df = ., ..., group, digits = 1, total = TRUE, show_denom = TRUE)

Arguments

df: Data Frame
...: Variables to be summarised
group: Optional variable that defines the grouping
digits: Number of digits to display percentages to, default is 1
total: Logical indicating whether a total column should be created
show_denom: Logical, should the denominator for each variable be shown. Default is TRUE.

Value

A tibble data frame summarising the data

Examples

yn_table(outcome, limp_yn, group = group)
#> # A tibble: 2 × 5
#>   variable scoring B              A              Total        
#>   <chr>    <chr>   <chr>          <chr>          <chr>        
#> 1 NA       NA      N = 324        N = 276        N = 600      
#> 2 limp_yn  ""      59/307 (19.2%) 54/258 (20.9%) 113/565 (20%)
yn_table(outcome, limp_yn, group = group, total = FALSE)
#> # A tibble: 2 × 4
#>   variable scoring B              A             
#>   <chr>    <chr>   <chr>          <chr>         
#> 1 NA       NA      N = 324        N = 276       
#> 2 limp_yn  ""      59/307 (19.2%) 54/258 (20.9%)
yn_table(outcome, limp_yn, show_denom = FALSE)
#> # A tibble: 2 × 3
#>   variable scoring value    
#>   <chr>    <chr>   <chr>    
#> 1 NA       NA      N = 600  
#> 2 limp_yn  ""      113 (20%)