Expression: Prepare Arm Levels — prepare_arm_levels • teal.modules.clinical

This function generates the standard expression for pre-processing of dataset arm levels in and is used to apply the same steps in safety teal modules.

prepare_arm_levels(dataname, parentname, arm_var, drop_arm_levels = TRUE)

Arguments

dataname: (character)
analysis data used in teal module.
parentname: (character)
parent analysis data used in teal module, usually this refers to ADSL.
arm_var: (character)
variable names that can be used as arm_var.
drop_arm_levels: (logical)
whether to drop unused levels of arm_var. If TRUE, arm_var levels are set to those used in the dataname dataset. If FALSE, arm_var levels are set to those used in the parentname dataset. If dataname and parentname are the same, then drop_arm_levels is set to TRUE and user input for this parameter is ignored.

Value

a { object. See base::Paren() for details.

Examples

prepare_arm_levels(
  dataname = "adae",
  parentname = "adsl",
  arm_var = "ARMCD",
  drop_arm_levels = TRUE
)
#> {
#>     adae <- adae %>% dplyr::mutate(ARMCD = droplevels(ARMCD))
#>     arm_levels <- levels(adae[["ARMCD"]])
#>     adsl <- adsl %>% dplyr::filter(ARMCD %in% arm_levels)
#>     adsl <- adsl %>% dplyr::mutate(ARMCD = droplevels(ARMCD))
#> }

prepare_arm_levels(
  dataname = "adae",
  parentname = "adsl",
  arm_var = "ARMCD",
  drop_arm_levels = FALSE
)
#> {
#>     adsl <- adsl %>% dplyr::mutate(ARMCD = droplevels(ARMCD))
#>     arm_levels <- levels(adsl[["ARMCD"]])
#>     adae <- adae %>% dplyr::mutate(ARMCD = factor(ARMCD, levels = arm_levels))
#> }