bind_ard.md
In cards: Analysis Results Data

ARD helpers messaging

Code
  bind_ard(ard, ard, .update = letters)
Condition
  Error in `bind_ard()`:
  ! The `.update` argument must be a scalar with class <logical>, not a character vector.

Code
  bind_ard(ard, ard, .distinct = FALSE, .update = FALSE)
Condition
  Error in `bind_ard()`:
  ! 27 rows with duplicated statistic names have been found.
  i See cards::bind_ard(.update) (`?cards::bind_ard()`) for details.

bind_ard() .order argument works

Code
  dplyr::select(as.data.frame(bind_ard(ard_categorical(ADSL, by = "ARM",
    variables = "SEX") %>% {
    dplyr::slice(., sample.int(nrow(.)))
  }, .order = TRUE)), -c(context, fmt_fn, warning, error))
Output
     group1         group1_level variable variable_level stat_name stat_label
  1     ARM  Xanomeline Low Dose      SEX              M         n          n
  2     ARM  Xanomeline Low Dose      SEX              M         p          %
  3     ARM  Xanomeline Low Dose      SEX              F         p          %
  4     ARM  Xanomeline Low Dose      SEX              F         N          N
  5     ARM  Xanomeline Low Dose      SEX              F         n          n
  6     ARM  Xanomeline Low Dose      SEX              M         N          N
  7     ARM Xanomeline High Dose      SEX              F         p          %
  8     ARM Xanomeline High Dose      SEX              F         n          n
  9     ARM Xanomeline High Dose      SEX              M         p          %
  10    ARM Xanomeline High Dose      SEX              M         n          n
  11    ARM Xanomeline High Dose      SEX              M         N          N
  12    ARM Xanomeline High Dose      SEX              F         N          N
  13    ARM              Placebo      SEX              M         N          N
  14    ARM              Placebo      SEX              M         p          %
  15    ARM              Placebo      SEX              F         n          n
  16    ARM              Placebo      SEX              F         N          N
  17    ARM              Placebo      SEX              F         p          %
  18    ARM              Placebo      SEX              M         n          n
          stat
  1         34
  2  0.4047619
  3  0.5952381
  4         84
  5         50
  6         84
  7  0.4761905
  8         40
  9  0.5238095
  10        44
  11        84
  12        84
  13        86
  14 0.3837209
  15        53
  16        86
  17 0.6162791
  18        33

Code
  dplyr::select(as.data.frame(bind_ard(ard_categorical(ADSL, by = "ARM",
    variables = "SEX") %>% {
    dplyr::slice(., sample.int(nrow(.)))
  }, .order = FALSE)), -c(context, fmt_fn, warning, error))
Output
     group1         group1_level variable variable_level stat_name stat_label
  1     ARM              Placebo      SEX              F         p          %
  2     ARM Xanomeline High Dose      SEX              M         N          N
  3     ARM Xanomeline High Dose      SEX              F         n          n
  4     ARM  Xanomeline Low Dose      SEX              F         n          n
  5     ARM  Xanomeline Low Dose      SEX              F         p          %
  6     ARM              Placebo      SEX              F         n          n
  7     ARM              Placebo      SEX              M         n          n
  8     ARM              Placebo      SEX              M         N          N
  9     ARM Xanomeline High Dose      SEX              F         p          %
  10    ARM Xanomeline High Dose      SEX              F         N          N
  11    ARM Xanomeline High Dose      SEX              M         p          %
  12    ARM              Placebo      SEX              F         N          N
  13    ARM  Xanomeline Low Dose      SEX              M         p          %
  14    ARM              Placebo      SEX              M         p          %
  15    ARM  Xanomeline Low Dose      SEX              F         N          N
  16    ARM Xanomeline High Dose      SEX              M         n          n
  17    ARM  Xanomeline Low Dose      SEX              M         N          N
  18    ARM  Xanomeline Low Dose      SEX              M         n          n
          stat
  1  0.6162791
  2         84
  3         40
  4         50
  5  0.5952381
  6         53
  7         33
  8         86
  9  0.4761905
  10        84
  11 0.5238095
  12        86
  13 0.4047619
  14 0.3837209
  15        84
  16        44
  17        84
  18        34

bind_ard(.distinct)

Code
  ard_continuous(ADSL, variables = AGE) %>% {
    bind_ard(., ., .update = FALSE)
  }
Message
  i 8 rows with duplicated statistic values have been removed.
  * See cards::bind_ard(.distinct) (`?cards::bind_ard()`) for details.
  {cards} data frame: 8 x 8
Output
    variable   context stat_name stat_label   stat fmt_fn
  1      AGE continuo…         N          N    254      0
  2      AGE continuo…      mean       Mean 75.087      1
  3      AGE continuo…        sd         SD  8.246      1
  4      AGE continuo…    median     Median     77      1
  5      AGE continuo…       p25         Q1     70      1
  6      AGE continuo…       p75         Q3     81      1
  7      AGE continuo…       min        Min     51      1
  8      AGE continuo…       max        Max     89      1
Message
  i 2 more variables: warning, error