Unlist ARD Columns

Usage

unlist_ard_columns(
  x,
  columns = c(where(is.list), -any_of(c("warning", "error", "fmt_fn"))),
  fill = NA
)

Arguments

x: (data.frame)
an ARD data frame of class 'card' or any data frame
columns: (tidy-select)
columns to unlist. Default is c(where(is.list), -any_of(c("warning", "error", "fmt_fn"))).
fill: (scalar)
scalar to fill NULL values with before unlisting (if they are present). Default is NA.

Value

a data frame

Examples

ADSL |>
  ard_categorical(by = ARM, variables = AGEGR1) |>
  apply_fmt_fn() |>
  unlist_ard_columns()
#> {cards} data frame: 27 x 12
#>    group1 group1_level variable variable_level stat_name stat_label  stat
#> 1     ARM      Placebo   AGEGR1          65-80         n          n    42
#> 2     ARM      Placebo   AGEGR1          65-80         N          N    86
#> 3     ARM      Placebo   AGEGR1          65-80         p          % 0.488
#> 4     ARM      Placebo   AGEGR1            <65         n          n    14
#> 5     ARM      Placebo   AGEGR1            <65         N          N    86
#> 6     ARM      Placebo   AGEGR1            <65         p          % 0.163
#> 7     ARM      Placebo   AGEGR1            >80         n          n    30
#> 8     ARM      Placebo   AGEGR1            >80         N          N    86
#> 9     ARM      Placebo   AGEGR1            >80         p          % 0.349
#> 10    ARM    Xanomeli…   AGEGR1          65-80         n          n    55
#>    stat_fmt
#> 1        42
#> 2        86
#> 3      48.8
#> 4        14
#> 5        86
#> 6      16.3
#> 7        30
#> 8        86
#> 9      34.9
#> 10       55
#> ℹ 17 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error

ADSL |>
  ard_continuous(by = ARM, variables = AGE) |>
  apply_fmt_fn() |>
  unlist_ard_columns()
#> {cards} data frame: 24 x 11
#>    group1 group1_level variable stat_name stat_label   stat stat_fmt
#> 1     ARM      Placebo      AGE         N          N     86       86
#> 2     ARM      Placebo      AGE      mean       Mean 75.209     75.2
#> 3     ARM      Placebo      AGE        sd         SD   8.59      8.6
#> 4     ARM      Placebo      AGE    median     Median     76     76.0
#> 5     ARM      Placebo      AGE       p25         Q1     69     69.0
#> 6     ARM      Placebo      AGE       p75         Q3     82     82.0
#> 7     ARM      Placebo      AGE       min        Min     52     52.0
#> 8     ARM      Placebo      AGE       max        Max     89     89.0
#> 9     ARM    Xanomeli…      AGE         N          N     84       84
#> 10    ARM    Xanomeli…      AGE      mean       Mean 74.381     74.4
#> ℹ 14 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error