Update app.R

app.R

@@ -98,7 +98,7 @@ plot_factor <- function(pi_star_list,
 
 # UI Definition
 ui <- fluidPage(
-    titlePanel(
+  titlePanel(
     "Selecting Optimal Candidate Profiles in Adversarial Environments: Case Study using a 2016 Conjoint",
     windowTitle = "StrategizeLab — Optimal Candidate Profiles Explorer"
   ),
@@ -309,39 +309,77 @@ server <- function(input, output, session) {
     }
     updateSelectInput(session, "factor", choices = factors, selected = factors[1])
   })
-
-  # perform computation function 
-  performComputation <- function() {
-  withProgress(message = "Retrieving results...", value = 0, {
-    incProgress(0.2, detail = "Looking up precomputed results...")
-    # Construct a human-readable label (as before)
-    if (input$case_type == "Average") {
-      label <- paste("Case=Average, Group=", input$respondent_group,
-                     ", Lambda=", input$lambda_input, sep="")
-      lam_char <- gsub("\\.", "PT", as.character(input$lambda_input))
-      filename <- paste0("Average_", input$respondent_group,
-                         "_lambda", lam_char, ".rds")
-    } else {
-      label <- paste("Case=Adversarial, Lambda=", input$lambda_input, sep="")
-      lam_char <- gsub("\\.", "PT", as.character(input$lambda_input))
-      filename <- paste0("Adversarial_lambda", lam_char, ".rds")
-    }
-    # Read the matching pre-computed .rds file from disk
-    file_path <- file.path("AppResults", filename)
-    Qoptimized <- readRDS(file_path)
-    # Store the loaded results in our reactive cache
-    cachedResults$data[[label]] <- Qoptimized
-    incProgress(0.8, detail = "Finishing up...")
-    # Update the choice list for previous results
-    updateSelectInput(session, "previousResults",
-                      choices = names(cachedResults$data),
-                      selected = label)
-  })
-}
   
   # Generate a new result and cache it
   # -- In app_ono.R, inside `server` definition --
-  observeEvent(input$compute, performComputation(), ignoreInit = FALSE)
+  observeEvent(input$compute, {
+    withProgress(message = "Retrieving results...", value = 0, {
+      incProgress(0.2, detail = "Looking up precomputed results...")
+      
+      # Construct a human-readable label (as before)
+      if (input$case_type == "Average") {
+        label <- paste("Case=Average, Group=", input$respondent_group,
+                       ", Lambda=", input$lambda_input, sep="")
+        lam_char <- gsub("\\.", "PT", as.character(input$lambda_input))
+        filename <- paste0("Average_", input$respondent_group,
+                           "_lambda", lam_char, ".rds")
+      } else {
+        label <- paste("Case=Adversarial, Lambda=", input$lambda_input, sep="")
+        lam_char <- gsub("\\.", "PT", as.character(input$lambda_input))
+        filename <- paste0("Adversarial_lambda", lam_char, ".rds")
+      }
+      
+      # Read the matching pre-computed .rds file from disk
+      file_path <- file.path("AppResults", filename)
+      Qoptimized <- readRDS(file_path)
+      
+      # Store the loaded results in our reactive cache
+      cachedResults$data[[label]] <- Qoptimized
+      
+      incProgress(0.8, detail = "Finishing up...")
+      
+      # Update the choice list for previous results
+      updateSelectInput(session, "previousResults", 
+                        choices = names(cachedResults$data),
+                        selected = label)
+    })
+  }, ignoreInit = TRUE)
+
+  # Auto-compute results on startup with defaults
+observe({
+  # Only run once when the app starts and inputs are available
+  if (!is.null(input$case_type) && !is.null(input$lambda_input)) {
+    # Trigger computation with default values
+    withProgress(message = "Loading default results...", value = 0, {
+      incProgress(0.2, detail = "Looking up precomputed results...")
+      
+      # Use default values: Average case, All respondents, lambda 0.01
+      case_type <- "Average"
+      respondent_group <- "All" 
+      lambda_input <- 0.01
+      
+      label <- paste("Case=Average, Group=All, Lambda=0.01", sep="")
+      lam_char <- gsub("\\.", "PT", as.character(lambda_input))
+      filename <- paste0("Average_All_lambda", lam_char, ".rds")
+      
+      # Read the matching pre-computed .rds file from disk
+      file_path <- file.path("AppResults", filename)
+      if (file.exists(file_path)) {
+        Qoptimized <- readRDS(file_path)
+        
+        # Store the loaded results in our reactive cache
+        cachedResults$data[[label]] <- Qoptimized
+        
+        incProgress(0.8, detail = "Finishing up...")
+        
+        # Update the choice list for previous results
+        updateSelectInput(session, "previousResults", 
+                          choices = names(cachedResults$data),
+                          selected = label)
+      }
+    })
+  }
+})
   
   # Reactive to pick the result the user wants to display
   selectedResult <- reactive({