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This module produces a table of multiple events by term.
tm_t_mult_events(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
seq_var,
hlt,
llt,
add_total = TRUE,
total_label = default_total_label(),
na_level = default_na_str(),
event_type = "event",
drop_arm_levels = TRUE,
pre_output = NULL,
post_output = NULL,
basic_table_args = teal.widgets::basic_table_args()
)
a teal_module
object.
(character
)
menu item label of the module in the teal app.
(character
)
analysis data used in teal module.
(character
)
parent analysis data used in teal module, usually this refers to ADSL
.
(teal.transform::choices_selected()
)
object with all
available choices and preselected option for variable names that can be used as arm_var
.
It defines the grouping variable(s) in the results table.
If there are two elements selected for arm_var
,
second variable will be nested under the first variable.
(teal.transform::choices_selected()
)
object with
all available choices and preselected option for variable names that can be used as analysis sequence number
variable. Used for counting the unique number of events.
(teal.transform::choices_selected()
)
name of the variable
with high level term for events.
(teal.transform::choices_selected()
)
name of the variable
with low level term for events.
(logical
)
whether to include column with total number of patients.
(string
)
string to display as total column/row label if column/row is
enabled (see add_total
). Defaults to "All Patients"
. To set a new default total_label
to
apply in all modules, run set_default_total_label("new_default")
.
(string
)
used to replace all NA
or empty values
in character or factor variables in the data. Defaults to "<Missing>"
. To set a
default na_level
to apply in all modules, run set_default_na_str("new_default")
.
(character
)
type of event that is summarized (e.g. adverse event, treatment). Default
is "event"
.
(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.
optional, (shiny.tag
)
with text placed before the output to put the output into context.
For example a title.
optional, (shiny.tag
)
with text placed after the output to put the output into context.
For example the shiny::helpText()
elements are useful.
optional, (basic_table_args
)
object created by teal.widgets::basic_table_args()
with settings for the module table. The argument is merged with option teal.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")
.
The TLG Catalog where additional example apps implementing this module can be found.
ADSL <- tmc_ex_adsl
ADCM <- tmc_ex_adcm
adcm_keys <- c("STUDYID", "USUBJID", "ASTDTM", "CMSEQ", "ATC1", "ATC2", "ATC3", "ATC4")
join_keys <- default_cdisc_join_keys[c("ADSL", "ADCM")]
join_keys["ADCM", "ADCM"] <- adcm_keys
app <- init(
data = cdisc_data(
ADSL = ADSL,
ADCM = ADCM,
code = "
ADSL <- tmc_ex_adsl
ADCM <- tmc_ex_adcm
",
join_keys = join_keys
),
modules = modules(
tm_t_mult_events(
label = "Concomitant Medications by Medication Class and Preferred Name",
dataname = "ADCM",
arm_var = choices_selected(c("ARM", "ARMCD"), "ARM"),
seq_var = choices_selected("CMSEQ", selected = "CMSEQ", fixed = TRUE),
hlt = choices_selected(
choices = variable_choices(ADCM, c("ATC1", "ATC2", "ATC3", "ATC4")),
selected = c("ATC1", "ATC2", "ATC3", "ATC4")
),
llt = choices_selected(
choices = variable_choices(ADCM, c("CMDECOD")),
selected = c("CMDECOD")
),
add_total = TRUE,
event_type = "treatment"
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
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