This module produces a patient profile laboratory table using ADaM datasets.
Usage
tm_t_pp_laboratory(
label,
dataname = "ADLB",
parentname = "ADSL",
patient_col = "USUBJID",
timepoints = NULL,
aval = lifecycle::deprecated(),
aval_var = NULL,
avalu = lifecycle::deprecated(),
avalu_var = NULL,
param = NULL,
paramcd = NULL,
anrind = NULL,
pre_output = NULL,
post_output = NULL,
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
.- patient_col
(
character
)
name of patient ID variable.- timepoints
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the time variable fromdataname
.- aval
- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- avalu
- avalu_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the analysis unit variable.- param
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for thePARAM
variable fromdataname
.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- anrind
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theANRIND
variable fromdataname
. Variable should have the following 3 levels:"HIGH"
,"LOW"
, and"NORMAL"
.- 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.- 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
(listing_df
- output ofrlistings::as_listing
)
For additional details and examples of decorators, refer to the vignette
vignette("decorate-modules-output", package = "teal")
or the teal_transform_module()
documentation.
Examples
data <- teal_data()
data <- within(data, {
ADSL <- tmc_ex_adsl
ADLB <- tmc_ex_adlb
})
join_keys(data) <- default_cdisc_join_keys[names(data)]
ADSL <- data[["ADSL"]]
ADLB <- data[["ADLB"]]
app <- init(
data = data,
modules = modules(
tm_t_pp_laboratory(
label = "Vitals",
dataname = "ADLB",
patient_col = "USUBJID",
paramcd = choices_selected(
choices = variable_choices(ADLB, "PARAMCD"),
selected = "PARAMCD"
),
param = choices_selected(
choices = variable_choices(ADLB, "PARAM"),
selected = "PARAM"
),
timepoints = choices_selected(
choices = variable_choices(ADLB, "ADY"),
selected = "ADY"
),
anrind = choices_selected(
choices = variable_choices(ADLB, "ANRIND"),
selected = "ANRIND"
),
aval_var = choices_selected(
choices = variable_choices(ADLB, "AVAL"),
selected = "AVAL"
),
avalu_var = choices_selected(
choices = variable_choices(ADLB, "AVALU"),
selected = "AVALU"
)
)
)
)
#> Initializing tm_t_pp_laboratory
#> Initializing reporter_previewer_module
if (interactive()) {
shinyApp(app$ui, app$server)
}