ard_proportion_ci.md
In cardx: Extra Analysis Results Data Utilities

ard_categorical_ci(method='strat_wilson') works

Code
  ard_categorical_ci_strat_wilson
Message
  {cards} data frame: 6 x 9
Output
    variable variable_level   context  stat_name stat_label      stat
  1      rsp           TRUE proporti…          N          N        80
  2      rsp           TRUE proporti…   estimate   estimate     0.625
  3      rsp           TRUE proporti…   conf.low   conf.low     0.487
  4      rsp           TRUE proporti…  conf.high  conf.high     0.719
  5      rsp           TRUE proporti… conf.level  conf.lev…      0.95
  6      rsp           TRUE proporti…     method     method Stratifi…
Message
  i 3 more variables: fmt_fn, warning, error

Code
  ard_categorical_ci_strat_wilsoncc
Message
  {cards} data frame: 6 x 9
Output
    variable variable_level   context  stat_name stat_label      stat
  1      rsp           TRUE proporti…          N          N        80
  2      rsp           TRUE proporti…   estimate   estimate     0.625
  3      rsp           TRUE proporti…   conf.low   conf.low     0.448
  4      rsp           TRUE proporti…  conf.high  conf.high     0.753
  5      rsp           TRUE proporti… conf.level  conf.lev…      0.95
  6      rsp           TRUE proporti…     method     method Stratifi…
Message
  i 3 more variables: fmt_fn, warning, error

ard_categorical_ci() messaging

Code
  ard <- ard_categorical_ci(data = mtcars, variables = cyl, value = cyl ~ 10,
  method = "jeffreys")
Condition
  Warning:
  A value of `value=10` for variable "cyl" was passed, but is not one of the observed levels: 4, 6, and 8.
  i This may be an error.
  i If value is a valid, convert variable to factor with all levels specified to avoid this message.