teal Module: Shift by Arm by Worst Analysis Indicator Level
Source:R/tm_t_shift_by_arm_by_worst.R
tm_t_shift_by_arm_by_worst.Rd
This module produces a summary table of worst analysis indicator variable level per subject by arm.
Usage
tm_t_shift_by_arm_by_worst(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
paramcd,
aval_var,
base_var = lifecycle::deprecated(),
baseline_var,
worst_flag_var,
worst_flag,
treatment_flag_var = teal.transform::choices_selected(choices =
teal.transform::variable_choices(dataname, subset = "ONTRTFL"), selected = "ONTRTFL"),
treatment_flag = teal.transform::choices_selected("Y"),
useNA = c("ifany", "no"),
na_level = default_na_str(),
add_total = FALSE,
total_label = default_total_label(),
pre_output = NULL,
post_output = NULL,
basic_table_args = teal.widgets::basic_table_args(),
decorators = NULL
)
Arguments
- label
(
character
)
menu item label of the module in the teal app.- dataname
(
character
)
analysis data used in teal module.- parentname
(
character
)
parent analysis data used in teal module, usually this refers toADSL
.- arm_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable names that can be used asarm_var
. It defines the grouping variable in the results table.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- base_var
- baseline_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable values that can be used asbaseline_var
.- worst_flag_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable names that can be used as worst flag variable.- worst_flag
(
character
)
value indicating worst analysis indicator level.- treatment_flag_var
(
teal.transform::choices_selected()
)
on treatment flag variable.- treatment_flag
(
teal.transform::choices_selected()
)
value indicating on treatment records intreatment_flag_var
.- useNA
(
character
)
whether missing data (NA
) should be displayed as a level.- na_level
(
string
)
used to replace allNA
or empty values in character or factor variables in the data. Defaults to"<Missing>"
. To set a defaultna_level
to apply in all modules, runset_default_na_str("new_default")
.- add_total
(
logical
)
whether to include row with total number of patients.- total_label
(
string
)
string to display as total column/row label if column/row is enabled (seeadd_total
). Defaults to"All Patients"
. To set a new defaulttotal_label
to apply in all modules, runset_default_total_label("new_default")
.- pre_output
(
shiny.tag
) optional,
with text placed before the output to put the output into context. For example a title.- post_output
(
shiny.tag
) optional,
with text placed after the output to put the output into context. For example theshiny::helpText()
elements are useful.- basic_table_args
(
basic_table_args
) optional
object created byteal.widgets::basic_table_args()
with settings for the module table. The argument is merged with optionteal.basic_table_args
and with default module arguments (hard coded in the module body). For more details, see the vignette:vignette("custom-basic-table-arguments", package = "teal.widgets")
.- decorators
-
" (
list
ofteal_transform_module
, namedlist
ofteal_transform_module
or"NULL
) optional, if notNULL
, decorator for tables or plots included in the module. When a named list ofteal_transform_module
, the decorators are applied to the respective output objects.Otherwise, the decorators are applied to all objects, which is equivalent as using the name
default
.See section "Decorating Module" below for more details.
Decorating Module
This module generates the following objects, which can be modified in place using decorators:
table
(TableTree
- output ofrtables::build_table
)
For additional details and examples of decorators, refer to the vignette
vignette("decorate-modules-output", package = "teal")
or the teal_transform_module()
documentation.
Examples
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADEG <- tmc_ex_adeg
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADEG <- data[["ADEG"]]
app <- init(
data = data,
modules = modules(
tm_t_shift_by_arm_by_worst(
label = "Shift by Arm Table",
dataname = "ADEG",
arm_var = choices_selected(
variable_choices(ADSL, subset = c("ARM", "ARMCD")),
selected = "ARM"
),
paramcd = choices_selected(
value_choices(ADEG, "PARAMCD"),
selected = "ECGINTP"
),
worst_flag_var = choices_selected(
variable_choices(ADEG, c("WORS02FL", "WORS01FL")),
selected = "WORS02FL"
),
worst_flag = choices_selected(
value_choices(ADEG, "WORS02FL"),
selected = "Y",
fixed = TRUE
),
aval_var = choices_selected(
variable_choices(ADEG, c("AVALC", "ANRIND")),
selected = "AVALC"
),
baseline_var = choices_selected(
variable_choices(ADEG, c("BASEC", "BNRIND")),
selected = "BASEC"
),
useNA = "ifany"
)
)
)
#> Initializing tm_t_shift_by_arm_by_worst
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}