print.md
In cards: Analysis Results Data

print.card() works

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

Code
  ard_categorical(ADSL, by = "ARM", variables = "AGEGR1")
Message
  {cards} data frame: 27 x 11
Output
     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    Xanomeli…   AGEGR1          65-80         n          n    55
  5     ARM    Xanomeli…   AGEGR1          65-80         N          N    84
  6     ARM    Xanomeli…   AGEGR1          65-80         p          % 0.655
  7     ARM    Xanomeli…   AGEGR1          65-80         n          n    47
  8     ARM    Xanomeli…   AGEGR1          65-80         N          N    84
  9     ARM    Xanomeli…   AGEGR1          65-80         p          %  0.56
  10    ARM      Placebo   AGEGR1            <65         n          n    14
Message
  i 17 more rows
  i Use `print(n = ...)` to see more rows
  i 4 more variables: context, fmt_fn, warning, error

Code
  ard_continuous(ADSL, variables = "AGE", fmt_fn = AGE ~ list(~ function(x) round(
    x, 3)))
Message
  {cards} data frame: 8 x 8
Output
    variable   context stat_name stat_label   stat fmt_fn
  1      AGE continuo…         N          N    254   <fn>
  2      AGE continuo…      mean       Mean 75.087   <fn>
  3      AGE continuo…        sd         SD  8.246   <fn>
  4      AGE continuo…    median     Median     77   <fn>
  5      AGE continuo…       p25         Q1     70   <fn>
  6      AGE continuo…       p75         Q3     81   <fn>
  7      AGE continuo…       min        Min     51   <fn>
  8      AGE continuo…       max        Max     89   <fn>
Message
  i 2 more variables: warning, error

Code
  dplyr::select(ard_continuous(data = data.frame(x = seq(as.Date("2000-01-01"),
  length.out = 10L, by = "day")), variables = x, statistic = ~
  continuous_summary_fns(c("min", "max", "sd"))), -fmt_fn)
Message
  {cards} data frame: 3 x 7
Output
    variable   context stat_name stat_label      stat error
  1        x continuo…       min        Min 2000-01-…      
  2        x continuo…       max        Max 2000-01-…      
  3        x continuo…        sd         SD     3.028      
Message
  i 1 more variable: warning

Code
  bind_ard(ard_attributes(mtcars, variables = mpg), ard_continuous(mtcars,
    variables = mpg, statistic = ~ continuous_summary_fns("mean", other_stats = list(
      vcov = function(x) vcov(lm(mpg ~ am, mtcars))))))
Message
  {cards} data frame: 4 x 8
Output
    variable   context stat_name stat_label                         stat fmt_fn
  1      mpg attribut…     label  Variable…                          mpg   <fn>
  2      mpg attribut…     class  Variable…                      numeric   NULL
  3      mpg continuo…      mean       Mean                       20.091      1
  4      mpg continuo…      vcov       vcov 1.265, -1.265, -1.265, 3.113      1
Message
  i 2 more variables: warning, error