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
)
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.
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)
}