Update app.R

app.R

@@ -1,141 +1,165 @@
-library(shiny)
-library(readr)      # Untuk membaca file CSV
-library(readxl)     # Untuk membaca file Excel (xlsx)
-library(haven)      # Untuk membaca file SPSS (sav)
-library(expss)
-library(dplyr)      # Untuk manipulasi data
-library(openxlsx)   # Untuk menulis file xlsx
-library(DT)         # Untuk tabel interaktif
-
-# Helper function for cross tabulation using cro_cpct() and cro_cases()
-create_crosstab <- function(data, row_vars, col_vars, use_percentage) {
-  # Select the required columns for rows
-  row_result <- data %>%
-    select(all_of(row_vars)) %>%
-    mutate(across(where(is.character), as.factor))  # Convert character to factor
-  
-  # Create a list with total() and the selected column variables
-  column_result <- data %>%
-    select(all_of(col_vars)) %>%
-    mutate(across(where(is.character), as.factor))  # Convert character to factor
-  
-  # Pilih antara cro_cpct() atau cro_cases()
-  if (use_percentage) {
-    crosstab <- cro_cpct(row_result, list(total(),column_result))
-    # Pembulatan 2 angka desimal
-    #crosstab <- round(crosstab, 2)
-  } else {
-    crosstab <- cro_cases(row_result, list(total(),column_result))
-  }
-  
-  return(crosstab)
-}
-
-# UI for the Shiny app
-ui <- fluidPage(
-  titlePanel("Shiny App with Cross Tabulation"),
-  sidebarLayout(
-    sidebarPanel(
-      # Upload file
-      fileInput("file", "Upload CSV, Excel, or SPSS File", 
-                accept = c(".csv", ".xlsx", ".sav")),
-      
-      # Select column variables first, then row variables
-      uiOutput("select_col_ui"),
-      uiOutput("select_row_ui"),
-      
-      # Select whether to use percentages or actual numbers
-      radioButtons("value_type", "Value Type",
-                   choices = list("Actual Numbers" = "actual",
-                                  "Percentage" = "percentage"),
-                   selected = "actual"),
-      
-      # Submit button
-      actionButton("submit", "Create Crosstab"),
-      
-      # Download button
-      downloadButton("downloadData", "Download Crosstab")
-    ),
-    mainPanel(
-      DTOutput("crosstab_table")  # Output hasil crostab dengan DTOutput untuk tabel interaktif
-    )
-  )
-)
-
-# Server logic
-server <- function(input, output, session) {
-  
-  # Reactive value to store uploaded data
-  data <- reactiveVal(NULL)
-  
-  observeEvent(input$file, {
-    req(input$file)
-    
-    # Read the file based on its extension
-    file_ext <- tools::file_ext(input$file$name)
-    
-    if (file_ext == "csv") {
-      data(read_csv(input$file$datapath))
-    } else if (file_ext == "xlsx") {
-      data(read_excel(input$file$datapath))
-    } else if (file_ext == "sav") {
-      data(read_sav(input$file$datapath))
-    } else {
-      showNotification("Unsupported file format!", type = "error")
-    }
-  })
-  
-  output$select_col_ui <- renderUI({
-    req(data())
-    df <- data()
-    # Column selection first
-    selectInput("col_var", "Select Column Variables", choices = names(df), multiple = TRUE)
-  })
-  
-  output$select_row_ui <- renderUI({
-    req(input$col_var)  # Ensure column is selected first
-    df <- data()
-    # Row selection after column
-    selectInput("row_var", "Select Row Variables", choices = names(df), multiple = TRUE)
-  })
-  
-  crosstab <- reactive({
-    req(input$submit)
-    req(data())
-    df <- data()
-    row_vars <- input$row_var
-    col_vars <- input$col_var
-    use_percentage <- input$value_type == "percentage"
-    
-    # Make sure the selected columns exist in the data
-    if (length(row_vars) == 0 || length(col_vars) == 0) {
-      showNotification("Please select at least one row and one column variable", type = "error")
-      return(NULL)
-    }
-    
-    # Generate the crosstab
-    create_crosstab(df, row_vars, col_vars, use_percentage)
-  })
-  
-  # Output crosstab as a DataTable
-  output$crosstab_table <- renderDT({
-    result <- crosstab()
-    req(result)
-    datatable(result, options = list(pageLength = 10, autoWidth = TRUE))
-  })
-  
-  output$downloadData <- downloadHandler(
-    filename = function() {
-      paste("crosstabulation-", Sys.Date(), ".xlsx", sep="")
-    },
-    content = function(file) {
-      wb <- createWorkbook()
-      sh1 = addWorksheet(wb, "Crosstab")
-      xl_write(crosstab(),wb, sh1)
-      saveWorkbook(wb, file, overwrite = TRUE)
-    }
-  )
-}
-
-# Create the Shiny app
-shinyApp(ui = ui, server = server)
+library(shiny)
+library(DT)
+library(readxl)
+library(haven)
+library(openxlsx)
+library(expss)
+library(dplyr)
+
+ui <- fluidPage(
+  titlePanel("Shiny App: Cross Tabulation"),
+  
+  sidebarLayout(
+    sidebarPanel(
+      fileInput("file", "Upload File (CSV, XLSX, SAV)", accept = c(".csv", ".xlsx", ".sav")),
+      
+      # Input for R script
+      textAreaInput(
+        "r_script",
+        label = "Write R Script to Modify Data:",
+        #value = "data$New_Column <- data$Score * 2",  # Example default script
+        rows = 10,
+        placeholder = "Write R code here to modify the dataframe, example: data$New_Column <- data$Score * 2"
+      ),
+      actionButton("apply_script", "Apply Script"),
+      br(),
+      
+      # Select the data source for the crosstab
+      selectInput("data_source", "Select Data Source for Crosstab", 
+                  choices = c("Original Data" = "original", "Modified Data" = "modified")),
+      
+      # Crosstab selections
+      selectInput("col_vars", "Select Column Variables", choices = NULL, multiple = TRUE),
+      selectInput("row_vars", "Select Row Variables", choices = NULL, multiple = TRUE),
+      selectInput("crosstab_type", "Crosstab Type", 
+                  choices = c("Absolute Values", "Percentage", "Mean Score")),
+      actionButton("generate_crosstab", "Generate Crosstab"),
+      
+      # Download Crosstab
+      downloadButton("download_crosstab", "Download Crosstab")
+    ),
+    
+    mainPanel(
+      tabsetPanel(
+        tabPanel("Original Data", DTOutput("original_data_table")),
+        tabPanel("Modified Data", DTOutput("modified_data_table")),
+        tabPanel("Crosstab Output", DTOutput("crosstab_table"))
+      )
+    )
+  )
+)
+
+server <- function(input, output, session) {
+  # Reactive values for data
+  original_data <- reactiveVal(NULL)
+  modified_data <- reactiveVal(NULL)
+  
+  # Load original data
+  observeEvent(input$file, {
+    req(input$file)
+    
+    file_ext <- tools::file_ext(input$file$name)
+    if (file_ext == "csv") {
+      df <- read.csv(input$file$datapath)
+    } else if (file_ext == "xlsx") {
+      df <- read_excel(input$file$datapath)
+    } else if (file_ext == "sav") {
+      df <- haven::read_sav(input$file$datapath)
+      for (var in names(df)) {
+        var_lab(df[[var]]) <- var_lab(df[[var]])  # Keep variable labels
+      }
+    } else {
+      showNotification("Unsupported file format!", type = "error")
+      return()
+    }
+    
+    original_data(df)
+    
+    # Display the original data in the Original Data tab
+    output$original_data_table <- renderDT({
+      datatable(original_data(), options = list(pageLength = 10, scrollX = TRUE))
+    })
+    
+    # Update dropdown variabel
+    updateSelectInput(session, "col_vars", choices = names(df))
+    updateSelectInput(session, "row_vars", choices = names(df))
+    
+    showNotification("Original data loaded successfully!", type = "message")
+  })
+  
+  # Apply R script to modify data
+  observeEvent(input$apply_script, {
+  req(input$r_script)
+  req(original_data())  # Pastikan data asli sudah dimuat
+  
+  tryCatch({
+    # Ambil data asli
+    df <- original_data()
+    
+    # Evaluasi skrip di lingkungan khusus
+    env <- new.env()
+    env$data <- df  # Data asli disimpan dalam lingkungan evaluasi
+    
+    eval(parse(text = input$r_script), envir = env)  # Evaluasi skrip
+    
+    # Ambil hasil modifikasi dari lingkungan
+    modified_data(env$data)
+    
+    # Tampilkan data hasil modifikasi di tab Modified Data
+    output$modified_data_table <- renderDT({
+      datatable(modified_data(), options = list(pageLength = 10, scrollX = TRUE))
+    })
+    
+    showNotification("Script applied successfully!", type = "message")
+  }, error = function(e) {
+    showNotification(paste("Error in script:", e$message), type = "error")
+  })
+  })
+
+  
+  # Generate Crosstab
+  crosstab <- eventReactive(input$generate_crosstab, {
+    req(input$col_vars, input$row_vars)
+    
+    # Pilih data berdasarkan sumber yang dipilih
+    df <- if (input$data_source == "original") {
+      original_data()
+    } else {
+      modified_data()
+    }
+    
+    # Prepare row and column variables
+    row_result <- df %>% select(all_of(input$row_vars))
+    column_result <- df %>% select(all_of(input$col_vars))
+    
+    # Crosstab calculation based on type
+    if (input$crosstab_type == "Absolute Values") {
+      cro_cases(row_result, list(total(), column_result))
+    } else if (input$crosstab_type == "Percentage") {
+      cro_cpct(row_result, list(total(), column_result))
+    } else {
+      cro_mean_sd_n(row_result, list(total(), column_result))
+    }
+  })
+  
+  # Render Crosstab
+  output$crosstab_table <- renderDT({
+    req(crosstab())
+    datatable(crosstab(), options = list(pageLength = 10, scrollX = TRUE))
+  })
+  
+  # Download Crosstab
+  output$download_crosstab <- downloadHandler(
+    filename = function() {
+      paste("crosstab-", Sys.Date(), ".xlsx", sep = "")
+    },
+    content = function(file) {
+      wb <- createWorkbook()
+      sh1 <- addWorksheet(wb, "Crosstab")
+      xl_write(crosstab(), wb, sh1)
+      saveWorkbook(wb, file, overwrite = TRUE)
+    }
+  )
+}
+
+shinyApp(ui, server)