Mock ARDs — mock • cards

Create empty ARDs used to create mock tables or table shells. Where applicable, the formatting functions are set to return 'xx' or 'xx.x'.

Usage

mock_categorical(
  variables,
  statistic = everything() ~ c("n", "p", "N"),
  by = NULL
)

mock_continuous(
  variables,
  statistic = everything() ~ c("N", "mean", "sd", "median", "p25", "p75", "min", "max"),
  by = NULL
)

mock_dichotomous(
  variables,
  statistic = everything() ~ c("n", "p", "N"),
  by = NULL
)

mock_missing(
  variables,
  statistic = everything() ~ c("N_obs", "N_miss", "N_nonmiss", "p_miss", "p_nonmiss"),
  by = NULL
)

mock_attributes(label)

mock_total_n()

Arguments

variables

(character or named list)
a character vector of variable names for functions mock_continuous(), mock_missing(), and mock_attributes().

a named list for functions mock_categorical() and mock_dichotomous(), where the list element is a vector of variable values. For mock_dichotomous(), only a single value is allowed for each variable.

statistic

(formula-list-selector)
a named list, a list of formulas, or a single formula where the list elements are character vectors of statistic names to appear in the ARD.

by

(named list)
a named list where the list element is a vector of variable values.

label

(named list)
named list of variable labels, e.g. list(cyl = "No. Cylinders").

Value

an ARD data frame of class 'card'

Examples

mock_categorical(
  variables =
    list(
      AGEGR1 = factor(c("<65", "65-80", ">80"), levels = c("<65", "65-80", ">80"))
    ),
  by = list(TRTA = c("Placebo", "Xanomeline High Dose", "Xanomeline Low Dose"))
) |>
  apply_fmt_fn()
#> {cards} data frame: 27 x 12
#>    group1 group1_level variable variable_level stat_name stat_label stat
#> 1    TRTA      Placebo   AGEGR1            <65         n          n     
#> 2    TRTA      Placebo   AGEGR1            <65         p          %     
#> 3    TRTA      Placebo   AGEGR1            <65         N          N     
#> 4    TRTA      Placebo   AGEGR1          65-80         n          n     
#> 5    TRTA      Placebo   AGEGR1          65-80         p          %     
#> 6    TRTA      Placebo   AGEGR1          65-80         N          N     
#> 7    TRTA      Placebo   AGEGR1            >80         n          n     
#> 8    TRTA      Placebo   AGEGR1            >80         p          %     
#> 9    TRTA      Placebo   AGEGR1            >80         N          N     
#> 10   TRTA    Xanomeli…   AGEGR1            <65         n          n     
#>    stat_fmt
#> 1        xx
#> 2      xx.x
#> 3        xx
#> 4        xx
#> 5      xx.x
#> 6        xx
#> 7        xx
#> 8      xx.x
#> 9        xx
#> 10       xx
#> ℹ 17 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error

mock_continuous(
  variables = c("AGE", "BMIBL"),
  by = list(TRTA = c("Placebo", "Xanomeline High Dose", "Xanomeline Low Dose"))
) |>
  # update the mock to report 'xx.xx' for standard deviations
  update_ard_fmt_fn(variables = c("AGE", "BMIBL"), stat_names = "sd", fmt_fn = \(x) "xx.xx") |>
  apply_fmt_fn()
#> {cards} data frame: 48 x 11
#>    group1 group1_level variable stat_name stat_label stat stat_fmt
#> 1    TRTA      Placebo      AGE         N          N            xx
#> 2    TRTA      Placebo      AGE      mean       Mean          xx.x
#> 3    TRTA      Placebo      AGE        sd         SD         xx.xx
#> 4    TRTA      Placebo      AGE    median     Median          xx.x
#> 5    TRTA      Placebo      AGE       p25         Q1          xx.x
#> 6    TRTA      Placebo      AGE       p75         Q3          xx.x
#> 7    TRTA      Placebo      AGE       min        Min          xx.x
#> 8    TRTA      Placebo      AGE       max        Max          xx.x
#> 9    TRTA    Xanomeli…      AGE         N          N            xx
#> 10   TRTA    Xanomeli…      AGE      mean       Mean          xx.x
#> ℹ 38 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error