This module produces a table to summarize variables by row groups.
Usage
tm_t_summary_by(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
by_vars,
summarize_vars,
id_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
subset = "USUBJID"), selected = "USUBJID", fixed = TRUE),
paramcd = NULL,
add_total = TRUE,
total_label = default_total_label(),
parallel_vars = FALSE,
row_groups = FALSE,
useNA = c("ifany", "no"),
na_level = default_na_str(),
numeric_stats = c("n", "mean_sd", "median", "range"),
denominator = teal.transform::choices_selected(c("n", "N", "omit"), "omit", fixed =
TRUE),
drop_arm_levels = TRUE,
drop_zero_levels = TRUE,
pre_output = NULL,
post_output = NULL,
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(s) in the results table. If there are two elements selected forarm_var
, second variable will be nested under the first variable.- by_vars
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable names used to split the summary by rows.- summarize_vars
(
teal.transform::choices_selected()
)
names of the variables that should be summarized.- id_var
(
teal.transform::choices_selected()
)
object specifying the variable name for subject id.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- 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")
.- parallel_vars
(
logical
)
whether summarized variables should be arranged in columns. Can only be set toTRUE
if all chosen analysis variables are numeric.- row_groups
(
logical
)
whether summarized variables should be arranged in row groups.- 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.- drop_zero_levels
(
logical
)
whether rows with zero counts in all columns should be removed from the table.- 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")
.
See also
The TLG Catalog where additional example apps implementing this module can be found.
Examples
ADSL <- tmc_ex_adsl
ADLB <- tmc_ex_adlb
app <- init(
data = cdisc_data(
ADSL = ADSL,
ADLB = ADLB,
code = "
ADSL <- tmc_ex_adsl
ADLB <- tmc_ex_adlb
"
),
modules = modules(
tm_t_summary_by(
label = "Summary by Row Groups Table",
dataname = "ADLB",
arm_var = choices_selected(
choices = variable_choices(ADSL, c("ARM", "ARMCD")),
selected = "ARM"
),
add_total = TRUE,
by_vars = choices_selected(
choices = variable_choices(ADLB, c("PARAM", "AVISIT")),
selected = c("AVISIT")
),
summarize_vars = choices_selected(
choices = variable_choices(ADLB, c("AVAL", "CHG")),
selected = c("AVAL")
),
useNA = "ifany",
paramcd = choices_selected(
choices = value_choices(ADLB, "PARAMCD", "PARAM"),
selected = "ALT"
)
)
)
)
#> Initializing tm_t_summary_by
if (interactive()) {
shinyApp(app$ui, app$server)
}