Compute Analysis Results Data (ARD) for simple continuous summary statistics.
Usage
ard_continuous(data, ...)
# S3 method for class 'data.frame'
ard_continuous(
data,
variables,
by = dplyr::group_vars(data),
strata = NULL,
statistic = everything() ~ continuous_summary_fns(),
fmt_fn = NULL,
stat_label = everything() ~ default_stat_labels(),
...
)
Arguments
 data
(
data.frame
)
a data frame ...
Arguments passed to methods.
 variables
(
tidyselect
)
columns to include in summaries. Default iseverything()
. by, strata

(
tidyselect
)
columns to tabulate by/stratify by for summary statistic calculation. Arguments are similar, but with an important distinction:by
: results are calculated for all combinations of the columns specified, including unobserved combinations and unobserved factor levels.strata
: results are calculated for all observed combinations of the columns specified.Arguments may be used in conjunction with one another.
 statistic

(
formulalistselector
)
a named list, a list of formulas, or a single formula where the list element is a named list of functions (or the RHS of a formula), e.g.list(mpg = list(mean = \(x) mean(x)))
.The value assigned to each variable must also be a named list, where the names are used to reference a function and the element is the function object. Typically, this function will return a scalar statistic, but a function that returns a named list of results is also acceptable, e.g.
list(conf.low = 1, conf.high = 1)
. However, when errors occur, the messaging will be less clear in this setting.  fmt_fn
(
formulalistselector
)
a named list, a list of formulas, or a single formula where the list element is a named list of functions (or the RHS of a formula), e.g.list(mpg = list(mean = \(x) round(x, digits = 2) > as.character()))
. stat_label
(
formulalistselector
)
a named list, a list of formulas, or a single formula where the list element is either a named list or a list of formulas defining the statistic labels, e.g.everything() ~ list(mean = "Mean", sd = "SD")
oreverything() ~ list(mean ~ "Mean", sd ~ "SD")
.
Examples
ard_continuous(ADSL, by = "ARM", variables = "AGE")
#> {cards} data frame: 24 x 10
#> 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
#> ℹ 14 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error
# if a single function returns a named list, the named
# results will be placed in the resulting ARD
ADSL >
dplyr::group_by(ARM) >
ard_continuous(
variables = "AGE",
statistic =
~ list(conf.int = \(x) t.test(x)[["conf.int"]] >
as.list() >
setNames(c("conf.low", "conf.high")))
)
#> {cards} data frame: 6 x 10
#> group1 group1_level variable stat_name stat_label stat
#> 1 ARM Placebo AGE conf.low conf.low 73.368
#> 2 ARM Placebo AGE conf.high conf.high 77.051
#> 3 ARM Xanomeli… AGE conf.low conf.low 72.67
#> 4 ARM Xanomeli… AGE conf.high conf.high 76.092
#> 5 ARM Xanomeli… AGE conf.low conf.low 73.868
#> 6 ARM Xanomeli… AGE conf.high conf.high 77.465
#> ℹ 4 more variables: context, fmt_fn, warning, error