teal Module: Patient Profile Adverse Events Table and Plot
Source:R/tm_g_pp_adverse_events.R
tm_g_pp_adverse_events.Rd
This module produces an adverse events table and ggplot2::ggplot()
type plot using ADaM datasets.
Usage
tm_g_pp_adverse_events(
label,
dataname = "ADAE",
parentname = "ADSL",
patient_col = "USUBJID",
aeterm = NULL,
tox_grade = NULL,
causality = NULL,
outcome = NULL,
action = NULL,
time = NULL,
decod = NULL,
font_size = c(12L, 12L, 25L),
plot_height = c(700L, 200L, 2000L),
plot_width = NULL,
pre_output = NULL,
post_output = NULL,
ggplot2_args = teal.widgets::ggplot2_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 toADSL
.- patient_col
(
character
)
name of patient ID variable.- aeterm
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAETERM
variable fromdataname
.- tox_grade
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAETOXGR
variable fromdataname
.- causality
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAEREL
variable fromdataname
.- outcome
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAEOUT
variable fromdataname
.- action
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAEACN
variable fromdataname
.- time
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theASTDY
variable fromdataname
.- decod
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for theAEDECOD
variable fromdataname
.- font_size
(
numeric
)
numeric vector of length 3 of current, minimum and maximum font size values.- 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.- ggplot2_args
optional, (
ggplot2_args
)
object created byteal.widgets::ggplot2_args()
with settings for the module plot. The argument is merged with optionteal.ggplot2_args
and with default module arguments (hard coded in the module body). For more details, see the vignette:vignette("custom-ggplot2-arguments", package = "teal.widgets")
.
Examples
library(nestcolor)
library(dplyr)
ADAE <- tmc_ex_adae
ADSL <- tmc_ex_adsl %>% filter(USUBJID %in% ADAE$USUBJID)
app <- init(
data = cdisc_data(
ADSL = ADSL,
ADAE = ADAE,
code = "
ADAE <- tmc_ex_adae
ADSL <- tmc_ex_adsl %>% filter(USUBJID %in% ADAE$USUBJID)
"
),
modules = modules(
tm_g_pp_adverse_events(
label = "Adverse Events",
dataname = "ADAE",
parentname = "ADSL",
patient_col = "USUBJID",
plot_height = c(600L, 200L, 2000L),
aeterm = choices_selected(
choices = variable_choices(ADAE, "AETERM"),
selected = "AETERM"
),
tox_grade = choices_selected(
choices = variable_choices(ADAE, "AETOXGR"),
selected = "AETOXGR"
),
causality = choices_selected(
choices = variable_choices(ADAE, "AEREL"),
selected = "AEREL"
),
outcome = choices_selected(
choices = variable_choices(ADAE, "AEOUT"),
selected = "AEOUT"
),
action = choices_selected(
choices = variable_choices(ADAE, "AEACN"),
selected = "AEACN"
),
time = choices_selected(
choices = variable_choices(ADAE, "ASTDY"),
selected = "ASTDY"
),
decod = NULL
)
)
)
#> [INFO] 2024-02-26 01:42:35.5390 pid:1518 token:[] teal.modules.clinical Initializing tm_g_pp_adverse_events
if (interactive()) {
shinyApp(app$ui, app$server)
}