This module produces a grid-style Kaplan-Meier plot for data with ADaM structure.
Usage
tm_g_km(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
arm_ref_comp = NULL,
paramcd,
strata_var,
facet_var,
time_unit_var =
teal.transform::choices_selected(teal.transform::variable_choices(dataname, "AVALU"),
"AVALU", fixed = TRUE),
aval_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"AVAL"), "AVAL", fixed = TRUE),
cnsr_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"CNSR"), "CNSR", fixed = TRUE),
conf_level = teal.transform::choices_selected(c(0.95, 0.9, 0.8), 0.95, keep_order =
TRUE),
plot_height = c(1200L, 400L, 5000L),
plot_width = 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
.- 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.- arm_ref_comp
optional, (
list
)
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.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- strata_var
(
teal.transform::choices_selected()
)
names of the variables for stratified analysis.- facet_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for names of variable that can be used for plot faceting.- time_unit_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the time unit variable.- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- cnsr_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the censoring variable.- 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).- plot_height
optional, (
numeric
)
a vector of length three withc(value, min, max)
. Specifies the height of the main plot and renders a slider on the plot to interactively adjust the plot height.- plot_width
optional, (
numeric
)
a vector of length three withc(value, min, max)
. Specifies the width of the main plot and renders a slider on the plot to interactively adjust the plot width.- pre_output
optional, (
shiny.tag
)
with text placed before the output to put the output into context. For example a title.- post_output
optional, (
shiny.tag
)
with text placed after the output to put the output into context. For example theshiny::helpText()
elements are useful.
See also
The TLG Catalog where additional example apps implementing this module can be found.
Examples
library(nestcolor)
ADSL <- tmc_ex_adsl
ADTTE <- tmc_ex_adtte
arm_ref_comp <- list(
ACTARMCD = list(
ref = "ARM B",
comp = c("ARM A", "ARM C")
),
ARM = list(
ref = "B: Placebo",
comp = c("A: Drug X", "C: Combination")
)
)
app <- init(
data = cdisc_data(
ADSL = ADSL,
ADTTE = ADTTE,
code = "
ADSL <- tmc_ex_adsl
ADTTE <- tmc_ex_adtte
"
),
modules = modules(
tm_g_km(
label = "Kaplan-Meier Plot",
dataname = "ADTTE",
arm_var = choices_selected(
variable_choices(ADSL, c("ARM", "ARMCD", "ACTARMCD")),
"ARM"
),
paramcd = choices_selected(
value_choices(ADTTE, "PARAMCD", "PARAM"),
"OS"
),
arm_ref_comp = arm_ref_comp,
strata_var = choices_selected(
variable_choices(ADSL, c("SEX", "BMRKR2")),
"SEX"
),
facet_var = choices_selected(
variable_choices(ADSL, c("SEX", "BMRKR2")),
NULL
)
)
)
)
#> [INFO] 2024-02-26 01:42:34.0824 pid:1518 token:[] teal.modules.clinical Initializing tm_g_km
if (interactive()) {
shinyApp(app$ui, app$server)
}