teal application to display data table with various
datasets typesThis vignette will guide you through the four parts to create a
teal application using various types of datasets using the
data table module tm_data_table():
app variableInside this app 3 datasets will be used
ADSL A wide data set with subject dataADTTE A long data set with time to event dataADLB A long data set with lab measurements for each
subjectapp variableThis is the most important section. We will use the
teal::init() function to create an app. The data will be
handed over using teal.data::teal_data(). The app itself
will be constructed by multiple calls of tm_data_table()
using different combinations of data sets.
# configuration for the two-datasets example
mod1 <- tm_data_table(
  label = "Two datasets",
  variables_selected = list(
    ADSL = c("STUDYID", "USUBJID", "SUBJID", "SITEID", "AGE", "SEX"),
    ADTTE = c(
      "STUDYID", "USUBJID", "SUBJID", "SITEID",
      "PARAM", "PARAMCD", "ARM", "ARMCD", "AVAL", "CNSR"
    )
  )
)
# configuration for the subsetting or changing order of datasets
mod2 <- tm_data_table(
  label = "Datasets order",
  variables_selected = list(
    ADSL = c("STUDYID", "USUBJID", "SUBJID", "SITEID", "AGE", "SEX"),
    ADLB = c(
      "STUDYID", "USUBJID", "SUBJID", "SITEID",
      "PARAM", "PARAMCD", "AVISIT", "AVISITN", "AVAL", "CHG"
    )
  ),
  datanames = c("ADTTE", "ADLB", "ADSL")
)
# configuration for the advanced usage of DT options and extensions
mod3 <- tm_data_table(
  label = "Advanced DT usage",
  dt_args = list(extensions = c("Buttons", "ColReorder", "FixedHeader")),
  dt_options = list(
    searching = FALSE,
    pageLength = 30,
    lengthMenu = c(5, 15, 25, 50, 100),
    scrollX = FALSE,
    dom = "lBrtip",
    buttons = c("copy", "csv", "excel", "pdf", "print"),
    colReorder = TRUE,
    fixedHeader = TRUE
  )
)
# initialize the app
app <- init(
  data = data,
  modules = modules(
    mod1,
    mod2,
    mod3
  )
)A simple shiny::shinyApp() call will let you run the
app. Note that app is only displayed when running this code inside an
R session.