ard_stack.md
In cards: Analysis Results Data

ard_stack() messaging

Code
  head(ard_stack(data = mtcars, ard_continuous(variables = "mpg"), .overall = TRUE), 1L)
Message
  The `.by` argument should be specified when using `.overall=TRUE`.
  i Setting `ard_stack(.overall=FALSE)`.
  {cards} data frame: 1 x 8
Output
    variable   context stat_name stat_label stat fmt_fn
  1      mpg continuo…         N          N   32      0
Message
  i 2 more variables: warning, error

Code
  ard_stack(ADSL, by = "ARM", ard_continuous(variables = AGE))
Condition
  Error in `ard_stack()`:
  ! Cannot evaluate expression `by = ARM`.
  i Did you mean `.by = ARM`?

ard_stack() complex call error

Code
  complex_call <- list()
  complex_call$ard_continuous <- ard_continuous
  ard_stack(data = mtcars, .by = am, complex_call$ard_continuous(variables = "mpg"), )
Condition
  Error in `ard_stack()`:
  ! `cards::ard_stack()` works with simple calls (`?rlang::call_name()`) and `complex_call$ard_continuous(variables = "mpg")` is not simple.

ard_stack(.by) messaging

Code
  dplyr::filter(ard_stack(mtcars2, ard_continuous(variables = "mpg", statistic = ~ continuous_summary_fns("N")), .by = c(am, vs), .total_n = TRUE,
  .overall = TRUE), stat_name %in% "N")
Message
  * Removing 1 row with NA or NaN values in "am" and "vs" columns.
  {cards} data frame: 10 x 13
Output
     group1 group1_level group2 group2_level        variable variable_level stat_name stat_label stat
  1      am            0     vs            0             mpg                        N          N   12
  2      am            0     vs            1             mpg                        N          N    7
  3      am            1     vs            0             mpg                        N          N    5
  4      am            1     vs            1             mpg                        N          N    7
  5    <NA>                <NA>                          mpg                        N          N   31
  6    <NA>                <NA>                           am              0         N          N   31
  7    <NA>                <NA>                           am              1         N          N   31
  8    <NA>                <NA>                           vs              0         N          N   31
  9    <NA>                <NA>                           vs              1         N          N   31
  10   <NA>                <NA>              ..ard_total_n..                        N          N   31
Message
  i 4 more variables: context, fmt_fn, warning, error

Code
  dplyr::filter(ard_stack(mtcars3, ard_continuous(variables = "mpg", statistic = ~ continuous_summary_fns("N")), .by = c(am, vs), .total_n = TRUE,
  .overall = TRUE), stat_name %in% "N")
Message
  * Removing 2 rows with NA or NaN values in "am" and "vs" columns.
  {cards} data frame: 10 x 13
Output
     group1 group1_level group2 group2_level        variable variable_level stat_name stat_label stat
  1      am            0     vs            0             mpg                        N          N   12
  2      am            0     vs            1             mpg                        N          N    7
  3      am            1     vs            0             mpg                        N          N    4
  4      am            1     vs            1             mpg                        N          N    7
  5    <NA>                <NA>                          mpg                        N          N   30
  6    <NA>                <NA>                           am              0         N          N   30
  7    <NA>                <NA>                           am              1         N          N   30
  8    <NA>                <NA>                           vs              0         N          N   30
  9    <NA>                <NA>                           vs              1         N          N   30
  10   <NA>                <NA>              ..ard_total_n..                        N          N   30
Message
  i 4 more variables: context, fmt_fn, warning, error