tidy_as_ard {cards}

Build ARD from Tidier

Description

Function converts a model's one-row tidy data frame into an ARD structure. The tidied data frame must have been constructed with eval_capture_conditions().

This function is primarily for developers and few consistency checks have been included.

Usage

tidy_as_ard(
  lst_tidy,
  tidy_result_names,
  fun_args_to_record = character(0L),
  formals = list(),
  passed_args = list(),
  lst_ard_columns
)

Arguments

lst_tidy

(named list)
list of tidied results constructed with eval_capture_conditions(), e.g. eval_capture_conditions(t.test(mtcars$mpg ~ mtcars$am) |> broom::tidy()).

tidy_result_names

(character)
character vector of column names expected by the tidier method. This is used to construct blank results in the event of an error.

fun_args_to_record

(character)
character vector of function argument names that are added to the ARD.

formals

(pairlist)
the results from formals(), e.g. formals(fisher.test). This is used to get the default argument values from unspecified arguments.

passed_args

(named list)
named list of additional arguments passed to the modeling function.

lst_ard_columns

(named list)
named list of values that will be added to the ARD data frame.

Value

an ARD data frame of class 'card'

Examples

# example how one may create a fisher.test() ARD function
my_ard_fishertest <- function(data, by, variable, ...) {
  # perform fisher test and format results -----------------------------------
  lst_tidy_fisher <-
    eval_capture_conditions(
      # this manipulation is similar to `fisher.test(...) |> broom::tidy()`
      stats::fisher.test(x = data[[variable]], y = data[[by]], ...)[c("p.value", "method")] |>
        as.data.frame()
    )

  # build ARD ------------------------------------------------------------------
  tidy_as_ard(
    lst_tidy = lst_tidy_fisher,
    tidy_result_names = c("p.value", "method"),
    fun_args_to_record =
      c(
        "workspace", "hybrid", "hybridPars", "control", "or",
        "conf.int", "conf.level", "simulate.p.value", "B"
      ),
    formals = formals(stats::fisher.test),
    passed_args = dots_list(...),
    lst_ard_columns = list(group1 = by, variable = variable, context = "fishertest")
  )
}

my_ard_fishertest(mtcars, by = "am", variable = "vs")