tests/testthat/_snaps/ard_summary.md

ard_summary() works

Code
  class(ard_test)
Output
  [1] "card"       "tbl_df"     "tbl"        "data.frame"

ard_summary(fmt_fun) argument works

Code
  as.data.frame(dplyr::select(apply_fmt_fun(ard_summary(ADSL, variables = "AGE",
    statistic = list(AGE = continuous_summary_fns(c("N", "mean", "median"))),
    fmt_fun = list(AGE = list(mean = function(x) as.character(round5(x, digits = 3)),
    N = function(x) format(round5(x, digits = 2), nsmall = 2), N_obs = function(x)
      format(round5(x, digits = 2), nsmall = 2))))), variable, stat_name, stat,
  stat_fmt))
Output
    variable stat_name     stat stat_fmt
  1      AGE         N      254   254.00
  2      AGE      mean 75.08661   75.087
  3      AGE    median       77     77.0
Code
  as.data.frame(dplyr::select(apply_fmt_fun(ard_summary(ADSL, variables = c("AGE",
    "BMIBL"), statistic = ~ continuous_summary_fns("mean"), fmt_fun = list(AGE = list(
    mean = function(x) as.character(round5(x, digits = 3)))))), variable,
  stat_name, stat, stat_fmt))
Output
    variable stat_name     stat stat_fmt
  1      AGE      mean 75.08661   75.087
  2    BMIBL      mean 24.67233     24.7
Code
  as.data.frame(dplyr::select(apply_fmt_fun(ard_summary(ADSL, variables = c("AGE",
    "BMIBL"), statistic = ~ continuous_summary_fns(c("mean", "sd")), fmt_fun = ~
  list(~ function(x) round(x, 4)))), variable, stat_name, stat, stat_fmt))
Output
    variable stat_name     stat stat_fmt
  1      AGE      mean 75.08661  75.0866
  2      AGE        sd 8.246234   8.2462
  3    BMIBL      mean 24.67233  24.6723
  4    BMIBL        sd 4.092185   4.0922

ard_summary() messaging

Code
  ard_summary(mtcars, variables = "mpg", statistic = ~ list(mean = "this is a string"))
Condition
  Error in `ard_summary()`:
  ! Error in the argument `statistic` for variable "mpg".
  i Value must be a named list of functions.
Code
  ard_summary(letters, variables = "mpg")
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'ard_summary' applied to an object of class "character"
Code
  ard_summary(mtcars)
Condition
  Error in `ard_summary()`:
  ! The `variables` argument cannot be missing.

ard_summary(stat_label) argument works

Code
  unique(dplyr::filter(dplyr::select(as.data.frame(ard_summary(data = ADSL, by = "ARM",
    variables = c("AGE", "BMIBL"), stat_label = everything() ~ list(c("min",
      "max") ~ "min - max"))), stat_name, stat_label), stat_name %in% c("min",
    "max")))
Output
    stat_name stat_label
  1       min  min - max
  2       max  min - max
Code
  unique(dplyr::filter(dplyr::select(as.data.frame(ard_summary(data = ADSL, by = "ARM",
    variables = c("AGE", "BMIBL"), stat_label = everything() ~ list(p25 = "25th %ile",
      p75 = "75th %ile"))), stat_name, stat_label), stat_name %in% c("p25", "p75")))
Output
    stat_name stat_label
  1       p25  25th %ile
  2       p75  75th %ile
Code
  unique(dplyr::select(dplyr::filter(as.data.frame(ard_summary(data = ADSL, by = "ARM",
    variables = c("AGE", "BMIBL"), stat_label = AGE ~ list(p25 = "25th %ile",
      p75 = "75th %ile"))), stat_name %in% c("p25", "p75")), variable, stat_name,
  stat_label))
Output
    variable stat_name stat_label
  1      AGE       p25  25th %ile
  2      AGE       p75  75th %ile
  3    BMIBL       p25         Q1
  4    BMIBL       p75         Q3
Code
  ard1
Output
    variable stat_name stat_label
  1      AGE  conf.low         LB
  2      AGE conf.high         UB

ard_summary() with dates works and displays as expected

Code
  ard_date
Message
  {cards} data frame: 3 x 8
Output
    variable context stat_name stat_label      stat fmt_fun
  1 DISONSDT summary       min        Min 1998-06-…    <fn>
  2 DISONSDT summary       max        Max 2013-09-…    <fn>
  3 DISONSDT summary        sd         SD   878.558       1
Message
  i 2 more variables: warning, error

ard_summary() works with non-syntactic names

Code
  as.data.frame(ard_summary(dplyr::mutate(ADSL, `BMI base` = BMIBL, Age = AGE,
    `Arm Var` = ARM), variables = c("BMI base", Age), statistic = ~ list(
    `mean lbl` = `mean error`), stat_label = everything() ~ list(`mean lbl` = "Test lbl")))
Output
    variable context stat_name stat_label stat                    fmt_fun warning
  1 BMI base summary  mean lbl   Test lbl NULL .Primitive("as.character")    NULL
  2      Age summary  mean lbl   Test lbl NULL .Primitive("as.character")    NULL
                                       error
  1 There was an error calculating the mean.
  2 There was an error calculating the mean.

ard_summary() errors with incomplete factor columns

Code
  ard_summary(dplyr::mutate(mtcars, am = factor(am, levels = character(0))), by = am,
  variables = mpg)
Condition
  Error in `ard_summary()`:
  ! Factors with empty "levels" attribute are not allowed, which was identified in column "am".
Code
  ard_summary(dplyr::mutate(mtcars, am = factor(am, levels = c(0, 1, NA),
  exclude = NULL)), by = am, variables = mpg)
Condition
  Error in `ard_summary()`:
  ! Factors with NA levels are not allowed, which are present in column "am".


Try the cards package in your browser

Any scripts or data that you put into this service are public.

cards documentation built on Dec. 2, 2025, 9:07 a.m.