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
variablelibrary(teal.modules.general) # used to create the app
Inside 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 subjectdata <- teal_data() data <- within(data, { ADSL <- teal.data::rADSL ADTTE <- teal.data::rADTTE ADLB <- teal.data::rADLB }) join_keys(data) <- default_cdisc_join_keys[names(data)]
app
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.
shinyApp(app$ui, app$server, options = list(height = 1024, width = 1024))
code <- paste0(c( knitr::knit_code$get("library"), knitr::knit_code$get("data"), knitr::knit_code$get("app"), knitr::knit_code$get("shinyapp") ), collapse = "\n") url <- roxy.shinylive::create_shinylive_url(code) cat(sprintf("[Open in Shinylive](%s)\n\n", url))
knitr::include_url(url, height = "800px")
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