This module produces a summary table of worst grades per subject by visit and parameter.
Usage
tm_t_shift_by_grade(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
visit_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
subset = "AVISIT"), selected = "AVISIT", fixed = TRUE),
paramcd,
worst_flag_var =
teal.transform::choices_selected(teal.transform::variable_choices(dataname, subset =
c("WGRLOVFL", "WGRLOFL", "WGRHIVFL", "WGRHIFL")), selected = "WGRLOVFL"),
worst_flag_indicator =
teal.transform::choices_selected(teal.transform::value_choices(dataname, "WGRLOVFL"),
selected = "Y", fixed = TRUE),
anl_toxgrade_var =
teal.transform::choices_selected(teal.transform::variable_choices(dataname, subset =
c("ATOXGR")), selected = c("ATOXGR"), fixed = TRUE),
base_toxgrade_var =
teal.transform::choices_selected(teal.transform::variable_choices(dataname, subset =
c("BTOXGR")), selected = c("BTOXGR"), fixed = TRUE),
id_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
subset = "USUBJID"), selected = "USUBJID", fixed = TRUE),
add_total = FALSE,
total_label = default_total_label(),
drop_arm_levels = TRUE,
pre_output = NULL,
post_output = NULL,
na_level = default_na_str(),
code_missing_baseline = FALSE,
basic_table_args = teal.widgets::basic_table_args()
)
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.- visit_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable names that can be used asvisit
variable. Must be a factor indataname
.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- 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_indicator
(
teal.transform::choices_selected()
)
value indicating worst grade.- anl_toxgrade_var
(
teal.transform::choices_selected()
)
variable for analysis toxicity grade.- base_toxgrade_var
(
teal.transform::choices_selected()
)
variable for baseline toxicity grade.- id_var
(
teal.transform::choices_selected()
)
object specifying the variable name for subject id.- add_total
(
logical
)
whether to include column 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")
.- drop_arm_levels
(
logical
)
whether to drop unused levels ofarm_var
. IfTRUE
,arm_var
levels are set to those used in thedataname
dataset. IfFALSE
,arm_var
levels are set to those used in theparentname
dataset. Ifdataname
andparentname
are the same, thendrop_arm_levels
is set toTRUE
and user input for this parameter is ignored.- 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.- 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")
.- code_missing_baseline
(
logical
)
whether missing baseline grades should be counted as grade 0.- 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")
.
See also
The TLG Catalog where additional example apps implementing this module can be found.
Examples
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADLB <- tmc_ex_adlb
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADLB <- data[["ADLB"]]
app <- init(
data = data,
modules = modules(
tm_t_shift_by_grade(
label = "Grade Laboratory Abnormality Table",
dataname = "ADLB",
arm_var = choices_selected(
choices = variable_choices(ADSL, subset = c("ARM", "ARMCD")),
selected = "ARM"
),
paramcd = choices_selected(
choices = value_choices(ADLB, "PARAMCD", "PARAM"),
selected = "ALT"
),
worst_flag_var = choices_selected(
choices = variable_choices(ADLB, subset = c("WGRLOVFL", "WGRLOFL", "WGRHIVFL", "WGRHIFL")),
selected = c("WGRLOVFL")
),
worst_flag_indicator = choices_selected(
value_choices(ADLB, "WGRLOVFL"),
selected = "Y", fixed = TRUE
),
anl_toxgrade_var = choices_selected(
choices = variable_choices(ADLB, subset = c("ATOXGR")),
selected = c("ATOXGR"),
fixed = TRUE
),
base_toxgrade_var = choices_selected(
choices = variable_choices(ADLB, subset = c("BTOXGR")),
selected = c("BTOXGR"),
fixed = TRUE
),
add_total = FALSE
)
),
filter = teal_slices(teal_slice("ADSL", "SAFFL", selected = "Y"))
)
#> Initializing tm_t_shift_by_grade
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}