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introduce decorators for tm_t_abnormality_by_worst_grade #1260

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m7pr
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@m7pr m7pr commented Nov 27, 2024

Part of insightsengineering/teal#1371

Working Example
devtools::load_all("../teal")
devtools::load_all(".")

insert_rrow_decorator <- function(default_caption = "I am a good new row", .var_to_replace = "table") {
  teal_transform_module(
    label = "New row",
    ui = function(id) shiny::textInput(shiny::NS(id, "new_row"), "New row", value = default_caption),
    server = make_teal_transform_server(
      substitute({
        .var_to_replace <- rtables::insert_rrow(.var_to_replace, rtables::rrow(new_row))
      }, env = list(.var_to_replace = as.name(.var_to_replace)))
    )
  )
}


library(dplyr)

data <- teal_data()
data <- within(data, {
  ADSL <- tmc_ex_adsl
  ADLB <- tmc_ex_adlb %>%
    filter(!AVISIT %in% c("SCREENING", "BASELINE"))
})
join_keys(data) <- default_cdisc_join_keys[names(data)]

ADSL <- data[["ADSL"]]
ADLB <- data[["ADLB"]]

app <- init(
  data = data,
  modules = modules(
    tm_t_abnormality_by_worst_grade(
      label = "Laboratory Test Results with Highest Grade Post-Baseline",
      dataname = "ADLB",
      arm_var = choices_selected(
        choices = variable_choices(ADSL, subset = c("ARM", "ARMCD")),
        selected = "ARM"
      ),
      paramcd = choices_selected(
        choices = value_choices(ADLB, "PARAMCD", "PARAM"),
        selected = c("ALT", "CRP", "IGA")
      ),
      add_total = FALSE,
      decorators = list(insert_rrow_decorator("I am a good new row"))
    )
  ),
  filter = teal_slices(
    teal_slice("ADSL", "SAFFL", selected = "Y"),
    teal_slice("ADLB", "ONTRTFL", selected = "Y")
  )
)
if (interactive()) {
  shinyApp(app$ui, app$server)
}

@averissimo averissimo removed their assignment Nov 29, 2024
@m7pr m7pr merged commit e3bc080 into 1187_decorate_output@main Nov 29, 2024
1 check passed
@m7pr m7pr deleted the tm_t_abnormality_by_worst_grade@1187_decorate_output@main branch November 29, 2024 20:27
@github-actions github-actions bot locked and limited conversation to collaborators Nov 29, 2024
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3 participants