This module produces a table to summarize variables.
Usage
tm_t_summary(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
summarize_vars,
add_total = TRUE,
total_label = default_total_label(),
show_arm_var_labels = TRUE,
useNA = c("ifany", "no"),
na_level = default_na_str(),
numeric_stats = c("n", "mean_sd", "mean_ci", "median", "median_ci", "quantiles",
"range", "geom_mean"),
denominator = c("N", "n", "omit"),
drop_arm_levels = TRUE,
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(s) in the results table. If there are two elements selected forarm_var
, second variable will be nested under the first variable.- summarize_vars
(
teal.transform::choices_selected()
)
names of the variables that should be summarized.- 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")
.- show_arm_var_labels
(
flag
)
whether arm variable label(s) should be displayed. Defaults toTRUE
.- 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")
.- numeric_stats
(
character
)
names of statistics to display for numeric summary variables. Available statistics aren
,mean_sd
,mean_ci
,median
,median_ci
,quantiles
,range
, andgeom_mean
.- denominator
(
character
)
chooses how percentages are calculated. With optionN
, the reference population from the column total is used as the denominator. With optionn
, the number of non-missing records in this row and column intersection is used as the denominator. Ifomit
is chosen, then the percentage is omitted.- 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.- 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.
See also
The TLG Catalog where additional example apps implementing this module can be found.
Examples
# Preparation of the test case - use `EOSDY` and `DCSREAS` variables to demonstrate missing data.
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADSL$EOSDY[1] <- NA_integer_
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
app <- init(
data = data,
modules = modules(
tm_t_summary(
label = "Demographic Table",
dataname = "ADSL",
arm_var = choices_selected(c("ARM", "ARMCD"), "ARM"),
add_total = TRUE,
summarize_vars = choices_selected(
c("SEX", "RACE", "BMRKR2", "EOSDY", "DCSREAS", "AGE"),
c("SEX", "RACE")
),
useNA = "ifany"
)
)
)
#> Initializing tm_t_summary
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}