View source: R/tm_t_events_by_grade.R
tm_t_events_by_grade | R Documentation |
This module produces a table to summarize events by grade.
tm_t_events_by_grade(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
hlt,
llt,
grade,
grading_groups = list(`Any Grade (%)` = c("1", "2", "3", "4", "5"), `Grade 1-2 (%)` =
c("1", "2"), `Grade 3-4 (%)` = c("3", "4"), `Grade 5 (%)` = "5"),
col_by_grade = FALSE,
prune_freq = 0,
prune_diff = 0,
add_total = TRUE,
total_label = default_total_label(),
na_level = default_na_str(),
drop_arm_levels = TRUE,
pre_output = NULL,
post_output = NULL,
basic_table_args = teal.widgets::basic_table_args(),
transformators = list(),
decorators = list()
)
a teal_module
object.
This module generates the following objects, which can be modified in place using decorators:
table
(TableTree
as created from rtables::build_table
)
A Decorator is applied to the specific output using a named list of teal_transform_module
objects.
The name of this list corresponds to the name of the output to which the decorator is applied.
See code snippet below:
tm_t_events_by_grade( ..., # arguments for module decorators = list( table = teal_transform_module(...) # applied only to `table` output ) )
For additional details and examples of decorators, refer to the vignette
vignette("decorate-module-output", package = "teal.modules.clinical")
.
To learn more please refer to the vignette
vignette("transform-module-output", package = "teal")
or the teal::teal_transform_module()
documentation.
The TLG Catalog where additional example apps implementing this module can be found.
library(dplyr)
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
.lbls_adae <- col_labels(tmc_ex_adae)
ADAE <- tmc_ex_adae %>%
mutate_if(is.character, as.factor) #' be certain of having factors
col_labels(ADAE) <- .lbls_adae
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADAE <- data[["ADAE"]]
app <- init(
data = data,
modules = modules(
tm_t_events_by_grade(
label = "Adverse Events by Grade Table",
dataname = "ADAE",
arm_var = choices_selected(c("ARM", "ARMCD"), "ARM"),
llt = choices_selected(
choices = variable_choices(ADAE, c("AETERM", "AEDECOD")),
selected = c("AEDECOD")
),
hlt = choices_selected(
choices = variable_choices(ADAE, c("AEBODSYS", "AESOC")),
selected = "AEBODSYS"
),
grade = choices_selected(
choices = variable_choices(ADAE, c("AETOXGR", "AESEV")),
selected = "AETOXGR"
)
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
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