hide table when not brushed

insightsengineering · Nov 21, 2024 · 4137aa1 · 4137aa1
1 parent 4321350
commit 4137aa1
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Showing 2 changed files with 15 additions and 11 deletions.
diff --git a/R/tm_p_swimlane2.r b/R/tm_p_swimlane2.r
@@ -16,7 +16,10 @@ ui_p_swimlane2 <- function(id) {
   ns <- NS(id)
   shiny::tagList(
     plotly::plotlyOutput(ns("plot")),
-    ui_page_data_table(ns("brush_tables"))
+    shinyjs::hidden(div(
+      id = ns("brushing_wrapper"),
+      ui_page_data_table(ns("brush_tables"))
+    ))
   )
 }
 
@@ -58,9 +61,9 @@ srv_p_swimlane2 <- function(id,
 
     brush_filtered_data <- reactive({
       if (is.null(brush_filter_call())) {
-        shinyjs::hide("brush_tables")
+        shinyjs::hide("brushing_wrapper")
       } else {
-        shinyjs::hide("show_tables")
+        shinyjs::show("brushing_wrapper")
         eval_code(plotly_q(), as.expression(brush_filter_call()))
       }
     })

diff --git a/inst/poc_adam_plotly.r b/inst/poc_adam_plotly.r
@@ -1,5 +1,4 @@
-pkgload::load_all("teal")
-pkgload::load_all("teal.widgets")
+library(plotly)
 pkgload::load_all("teal.modules.general")
 
 # Example data
@@ -10,7 +9,8 @@ data <- within(teal_data(), {
     EOTSTT2 = case_when(
       !is.na(DCSREAS) ~ DCSREAS,
       TRUE ~ EOTSTT
-    )
+    ),
+    TRTLEN = as.integer(TRTEDTM - TRTSDTM)
   )
 
   ADAE <- teal.data::rADAE
@@ -21,21 +21,22 @@ join_keys(data) <- default_cdisc_join_keys
 
 
 plotly_specs <- list(
-  list("plotly::add_bars", x = ~EOSDY, y = ~USUBJID, data = quote(ADSL)),
-  list("plotly::add_markers", x = ~EOSDY, y = ~USUBJID, color = ~EOTSTT2, data = quote(ADSL)),
-  list("plotly::add_markers", x = ~ADY, y = ~USUBJID, data = quote(ADRS))
+  list("plotly::add_bars", x = ~TRTLEN, y = ~USUBJID, color = ~ARM, data = quote(ADSL)),
+  list("plotly::add_markers", x = ~ADY, y = ~USUBJID, color = ~AVALC, symbol = ~AVALC, data = quote(ADRS))
 )
 
-
 app <- init(
   data = data,
   modules = modules(
     tm_data_table(),
-    tm_p_swimlane2(
+    tm_p_plotly(
       label = "Swimlane",
       plotly_specs = plotly_specs,
       title = "Swimlane Efficacy Plot"
     )
+  ),
+  filter = teal_slices(
+    teal_slice("ADSL", "AGE", selected = c(20, 25))
   )
 )