This module produces a table to summarize analysis of variance, consistent with the TLG Catalog
template for AOVT01
available here when multiple
endpoints are selected.
Usage
tm_t_ancova(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
arm_ref_comp = NULL,
aval_var,
cov_var,
include_interact = FALSE,
interact_var = NULL,
interact_y = FALSE,
avisit,
paramcd,
conf_level = teal.transform::choices_selected(c(0.95, 0.9, 0.8), 0.95, keep_order =
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 in the results table.- arm_ref_comp
(
list
) optional,
if specified it must be a named list with each element corresponding to an arm variable inADSL
and the element must be another list (possibly with delayedteal.transform::variable_choices()
or delayedteal.transform::value_choices()
with the elements namedref
andcomp
that the defined the default reference and comparison arms when the arm variable is changed.- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- cov_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the covariates variables.- include_interact
(
logical
)
whether an interaction term should be included in the model.- interact_var
(
character
)
name of the variable that should have interactions with arm. If the interaction is not needed, the default option isNULL
.- interact_y
(
character
)
a selected item from the interact_var column which will be used to select the specificANCOVA
results when interact_var is discrete. If the interaction is not needed, the default option isFALSE
.- avisit
(
teal.transform::choices_selected()
)
value of analysis visitAVISIT
of interest.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- conf_level
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the confidence level, each within range of (0, 1).- 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.
Details
When a single endpoint is selected, both unadjusted and adjusted comparison are provided. This modules expects that the analysis data has the following variables:
AVISIT
: variable used to filter for analysis visits.PARAMCD
: variable used to filter for endpoints, after filtering forparamcd
andavisit
, one observation per patient is expected for the analysis to be meaningful.
Decorating Module
This module generates the following objects, which can be modified in place using decorators:
table
(ElementaryTable
- 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
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADQS <- tmc_ex_adqs
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADQS <- data[["ADQS"]]
arm_ref_comp <- list(
ARM = list(
ref = "B: Placebo",
comp = c("A: Drug X", "C: Combination")
),
ACTARMCD = list(
ref = "ARM B",
comp = c("ARM A", "ARM C")
)
)
app <- init(
data = data,
modules = modules(
tm_t_ancova(
label = "ANCOVA Table",
dataname = "ADQS",
avisit = choices_selected(
choices = value_choices(ADQS, "AVISIT"),
selected = "WEEK 1 DAY 8"
),
arm_var = choices_selected(
choices = variable_choices(ADSL, c("ARM", "ACTARMCD", "ARMCD")),
selected = "ARMCD"
),
arm_ref_comp = arm_ref_comp,
aval_var = choices_selected(
choices = variable_choices(ADQS, c("CHG", "AVAL")),
selected = "CHG"
),
cov_var = choices_selected(
choices = variable_choices(ADQS, c("BASE", "STRATA1", "SEX")),
selected = "STRATA1"
),
paramcd = choices_selected(
choices = value_choices(ADQS, "PARAMCD", "PARAM"),
selected = "FKSI-FWB"
),
interact_var = choices_selected(
choices = variable_choices(ADQS, c("BASE", "STRATA1", "SEX")),
selected = "STRATA1"
)
)
)
)
#> Initializing tm_t_ancova
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}