teal Module: Patient Profile Timeline Plot — tm_g_pp_patient

This module produces a patient profile timeline ggplot2::ggplot() type plot using ADaM datasets.

Usage

tm_g_pp_patient_timeline(
  label,
  dataname_adcm = "ADCM",
  dataname_adae = "ADAE",
  parentname = "ADSL",
  patient_col = "USUBJID",
  aeterm = NULL,
  cmdecod = NULL,
  aetime_start = NULL,
  aetime_end = NULL,
  dstime_start = NULL,
  dstime_end = NULL,
  aerelday_start = NULL,
  aerelday_end = NULL,
  dsrelday_start = NULL,
  dsrelday_end = 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(),
  decorators = NULL
)

Arguments

label

(character)
menu item label of the module in the teal app.

dataname_adcm

(character)
name of ADCM dataset or equivalent.

dataname_adae

(character)
name of ADAE dataset or equivalent.

parentname

(character)
parent analysis data used in teal module, usually this refers to ADSL.

patient_col

(character)
name of patient ID variable.

aeterm

(teal.transform::choices_selected())
object with all available choices and preselected option for the AETERM variable from dataname.

cmdecod

(teal.transform::choices_selected())
object with all available choices and preselected option for the CMDECOD variable from dataname_adcm.

aetime_start

(teal.transform::choices_selected())
object with all available choices and preselected option for the ASTDTM variable from dataname_adae.

aetime_end

(teal.transform::choices_selected())
object with all available choices and preselected option for the AENDTM variable from dataname_adae.

dstime_start

(teal.transform::choices_selected())
object with all available choices and preselected option for the CMASTDTM variable from dataname_adcm.

dstime_end

(teal.transform::choices_selected())
object with all available choices and preselected option for the CMAENDTM variable from dataname_adcm.

aerelday_start

(teal.transform::choices_selected())
object with all available choices and preselected option for the ASTDY variable from dataname_adae.

aerelday_end

(teal.transform::choices_selected())
object with all available choices and preselected option for the AENDY variable from dataname_adae.

dsrelday_start

(teal.transform::choices_selected())
object with all available choices and preselected option for the ASTDY variable from dataname_adcm.

dsrelday_end

(teal.transform::choices_selected())
object with all available choices and preselected option for the AENDY variable from dataname_adcm.

font_size

(numeric)
numeric vector of length 3 of current, minimum and maximum font size values.

plot_height

(numeric) optional
vector of length three with c(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

(numeric) optional
vector of length three with c(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

(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 the shiny::helpText() elements are useful.

ggplot2_args

(ggplot2_args) optional
object created by teal.widgets::ggplot2_args() with settings for the module plot. The argument is merged with option teal.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").

decorators

" (list of teal_transform_module, named list of teal_transform_module or" NULL) optional, if not NULL, decorator for tables or plots included in the module. When a named list of teal_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.

Value

a teal_module object.

Decorating Module

This module generates the following objects, which can be modified in place using decorators:

plot (ggplot2)

For additional details and examples of decorators, refer to the vignette vignette("decorate-modules-output", package = "teal") or the teal_transform_module() documentation.

Examples in Shinylive

example-1: Open in Shinylive

Examples

library(nestcolor)
library(dplyr)

data <- teal_data()
data <- within(data, {
  ADAE <- tmc_ex_adae
  ADSL <- tmc_ex_adsl %>%
    filter(USUBJID %in% ADAE$USUBJID)
  ADCM <- tmc_ex_adcm %>%
    mutate(
      CMSTDY = case_when(
        CMCAT == "medcl B" ~ 20,
        CMCAT == "medcl C" ~ 150,
        TRUE ~ 1
      ) %>% with_label("Study Day of Start of Medication"),
      CMENDY = case_when(
        CMCAT == "medcl B" ~ 700,
        CMCAT == "medcl C" ~ 1000,
        TRUE ~ 500
      ) %>% with_label("Study Day of End of Medication"),
      CMASTDTM = ASTDTM,
      CMAENDTM = AENDTM
    )
})

join_keys(data) <- default_cdisc_join_keys[c("ADSL", "ADAE", "ADCM")]
adcm_keys <- c("STUDYID", "USUBJID", "ASTDTM", "CMSEQ", "ATC1", "ATC2", "ATC3", "ATC4")
join_keys(data)["ADCM", "ADCM"] <- adcm_keys
join_keys(data)["ADAE", "ADCM"] <- c("STUDYID", "USUBJID")

app <- init(
  data = data,
  modules = modules(
    tm_g_pp_patient_timeline(
      label = "Patient Timeline",
      dataname_adae = "ADAE",
      dataname_adcm = "ADCM",
      parentname = "ADSL",
      patient_col = "USUBJID",
      plot_height = c(600L, 200L, 2000L),
      cmdecod = choices_selected(
        choices = variable_choices(data[["ADCM"]], "CMDECOD"),
        selected = "CMDECOD",
      ),
      aeterm = choices_selected(
        choices = variable_choices(data[["ADAE"]], "AETERM"),
        selected = c("AETERM")
      ),
      aetime_start = choices_selected(
        choices = variable_choices(data[["ADAE"]], "ASTDTM"),
        selected = c("ASTDTM")
      ),
      aetime_end = choices_selected(
        choices = variable_choices(data[["ADAE"]], "AENDTM"),
        selected = c("AENDTM")
      ),
      dstime_start = choices_selected(
        choices = variable_choices(data[["ADCM"]], "CMASTDTM"),
        selected = c("CMASTDTM")
      ),
      dstime_end = choices_selected(
        choices = variable_choices(data[["ADCM"]], "CMAENDTM"),
        selected = c("CMAENDTM")
      ),
      aerelday_start = choices_selected(
        choices = variable_choices(data[["ADAE"]], "ASTDY"),
        selected = c("ASTDY")
      ),
      aerelday_end = choices_selected(
        choices = variable_choices(data[["ADAE"]], "AENDY"),
        selected = c("AENDY")
      ),
      dsrelday_start = choices_selected(
        choices = variable_choices(data[["ADCM"]], "ASTDY"),
        selected = c("ASTDY")
      ),
      dsrelday_end = choices_selected(
        choices = variable_choices(data[["ADCM"]], "AENDY"),
        selected = c("AENDY")
      )
    )
  )
)
#> Initializing tm_g_pp_patient_timeline
#> Initializing reporter_previewer_module
if (interactive()) {
  shinyApp(app$ui, app$server)
}