ard_stack: Stack ARDs

In cards: Analysis Results Data

Stack ARDs

Description

Stack multiple ARD calls sharing common input data and by variables. Optionally incorporate additional information on represented variables, e.g. overall calculations, rates of missingness, attributes, or transform results with shuffle_ard().

If the ard_stack(by) argument is specified, a univariate tabulation of the by variable will also be returned.

Usage

ard_stack(
  data,
  ...,
  .by = NULL,
  .overall = FALSE,
  .missing = FALSE,
  .attributes = FALSE,
  .total_n = FALSE,
  .shuffle = FALSE
)

Arguments

data	(data.frame) a data frame
...	(dynamic-dots) Series of ARD function calls to be run and stacked
.by	(tidy-select) columns to tabulate by in the series of ARD function calls. Any rows with NA or NaN values are removed from all calculations.
.overall	(logical) logical indicating whether overall statistics should be calculated (i.e. re-run all ⁠ard_*()⁠ calls with by=NULL). Default is FALSE.
.missing	(logical) logical indicating whether to include the results of ard_missing() for all variables represented in the ARD. Default is FALSE.
.attributes	(logical) logical indicating whether to include the results of ard_attributes() for all variables represented in the ARD. Default is FALSE.
.total_n	(logical) logical indicating whether to include of ard_total_n() in the returned ARD.
.shuffle	(logical) logical indicating whether to perform shuffle_ard() on the final result. Default is FALSE.

Value

an ARD data frame of class 'card'

Examples

ard_stack(
  data = ADSL,
  ard_categorical(variables = "AGEGR1"),
  ard_continuous(variables = "AGE"),
  .by = "ARM",
  .overall = TRUE,
  .attributes = TRUE
)

ard_stack(
  data = ADSL,
  ard_categorical(variables = "AGEGR1"),
  ard_continuous(variables = "AGE"),
  .by = "ARM",
  .shuffle = TRUE
)

cards documentation built on Oct. 4, 2024, 1:09 a.m.