Pairwise ARD

Utility to perform pairwise comparisons.

ard_pairwise(data, variable, .f, include = NULL)

Arguments

data

(data.frame)
a data frame

variable

(tidy-select)
Column to perform pairwise analyses for.

.f

(function)
a function that creates ARDs. The function accepts a single argument and a subset of data will be passed including the two levels of variable for the pairwise analysis.

include

(vector)
a vector of levels of the variable column to include in comparisons. Pairwise comparisons will only be performed for pairs that have a level specified here. Default is NULL and all pairwise computations are included.

Value

list of ARDs

Examples

ard_pairwise(
  ADSL,
  variable = ARM,
  .f = \(df) {
    ard_mvsummary(
      df,
      variables = AGE,
      statistic = ~ list(ttest = \(x, data, ...) t.test(x ~ data$ARM)[c("statistic", "p.value")])
    )
  },
  include = "Placebo" # only include comparisons to the "Placebo" group
)
#> $`'Placebo' vs. 'Xanomeline High Dose'`
#> # An ARD data frame: 2 × 8
#>   variable context   stat_name stat_label   stat fmt_fun warning error 
#>   <chr>    <chr>     <chr>     <chr>      <list>  <list> <list>  <list>
#> 1 AGE      mvsummary statistic statistic   0.655       1 <NULL>  <NULL>
#> 2 AGE      mvsummary p.value   p.value     0.513       1 <NULL>  <NULL>
#> 
#> $`'Placebo' vs. 'Xanomeline Low Dose'`
#> # An ARD data frame: 2 × 8
#>   variable context   stat_name stat_label   stat fmt_fun warning error 
#>   <chr>    <chr>     <chr>     <chr>      <list>  <list> <list>  <list>
#> 1 AGE      mvsummary statistic statistic  -0.353       1 <NULL>  <NULL>
#> 2 AGE      mvsummary p.value   p.value     0.724       1 <NULL>  <NULL>
#> 
#> attr(,"args")
#> attr(,"args")$variable
#> [1] "ARM"
#> 
#> attr(,"args")$include
#> [1] "Placebo"
#>