tm_t_summary_by {teal.modules.clinical} | R Documentation |
teal Module: Summarize Variables by Row Groups
Description
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 to ADSL .
|
arm_var |
(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.
|
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 from dataname .
|
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 (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") .
|
parallel_vars |
(logical ) whether summarized variables should be arranged in columns. Can only be set to
TRUE 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 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") .
|
numeric_stats |
(character ) names of statistics to display for numeric summary variables. Available
statistics are n , mean_sd , mean_ci , median , median_ci , quantiles , range , and geom_mean .
|
denominator |
(character ) chooses how percentages are calculated. With option N , the reference
population from the column total is used as the denominator. With option n , the number of non-missing
records in this row and column intersection is used as the denominator. If omit is chosen, then the
percentage is omitted.
|
drop_arm_levels |
(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.
|
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 the shiny::helpText() elements are useful.
|
basic_table_args |
(basic_table_args ) optional 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") .
|
Value
a teal_module
object.
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"
)
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
[Package
teal.modules.clinical version 0.9.1
Index]