inst/app-descriptr/logic/logic_cross.R

observeEvent(input$finalok, {

    num_data <- final_split$train[, sapply(final_split$train, is.factor)]
    # validate(need(!is.null(dim(num_data)), 'Please select two factor variables.'))
    if (is.null(dim(num_data))) {
            k <- final_split$train %>% map(is.factor) %>% unlist()
            j <- names(which(k == TRUE))
            numdata <- tibble::as_data_frame(num_data)
            colnames(numdata) <- j
            updateSelectInput(session, 'var1_cross',
              choices = names(numdata), selected = names(numdata))
            updateSelectInput(session, 'var2_cross',
              choices = names(numdata), selected = names(numdata))
        } else if (ncol(num_data) < 1) {
             updateSelectInput(session, 'var1_cross',
              choices = '', selected = '')
             updateSelectInput(session, 'var2_cross',
              choices = '', selected = '')
        } else {
             updateSelectInput(session, 'var1_cross', choices = names(num_data))
             updateSelectInput(session, 'var2_cross', choices = names(num_data))
        }

})

# observeEvent(input$finalok, {

#     num_data <- final_split$train[, sapply(final_split$train, is.factor)]
#     # validate(need(!is.null(dim(num_data)), 'Please select two factor variables.'))
#     if (is.null(dim(num_data))) {
#             k <- final_split$train %>% map(is.factor) %>% unlist()
#             j <- names(which(k == TRUE))
#             numdata <- tibble::as_data_frame(num_data)
#             colnames(numdata) <- j
#             updateSelectInput(session, 'var1_cross',
#               choices = names(numdata), selected = names(numdata))
#             updateSelectInput(session, 'var2_cross',
#               choices = names(numdata), selected = names(numdata))
#         } else if (ncol(num_data) < 1) {
#              updateSelectInput(session, 'var1_cross',
#               choices = '', selected = '')
#              updateSelectInput(session, 'var2_cross',
#               choices = '', selected = '')
#         } else {
#              updateSelectInput(session, 'var1_cross', choices = names(num_data))
#              updateSelectInput(session, 'var2_cross', choices = names(num_data))
#         }

# })

# selected data
d_cross <- eventReactive(input$submit_cross, {
    # validate(need((input$var1_cross != '' & input$var2_cross != ''), 'Please select two variables.'))
    data <- final_split$train[, c(input$var1_cross, input$var2_cross)]

})

# column names
conames <- reactive({
	colnames(d_cross())
})


cross_out <- eventReactive(input$submit_cross, {
  k <- ds_cross_table(final_split$train, !! sym(as.character(input$var1_cross)),
    !! sym(as.character(input$var2_cross)))
  k
})

# cross table
output$cross <- renderPrint({
  cross_out()
})


c1_title <- eventReactive(input$submit_cross, {
  h3('Stacked Bar Plot', style = 'align:center;')
})

output$cross1_title <- renderUI({
  c1_title()
})

c2_title <- eventReactive(input$submit_cross, {
  h3('Grouped Bar Plot', style = 'align:center;')
})

output$cross2_title <- renderUI({
  c2_title()
})

c3_title <- eventReactive(input$submit_cross, {
  h3('Proportional Bar Plot', style = 'align:center;')
})

output$cross3_title <- renderUI({
  c3_title()
})


output$cross_bar_stacked <- renderPlot({
  plot(cross_out(), stacked = TRUE)
})

output$cross_bar_grouped <- renderPlot({
  plot(cross_out())
})

output$cross_bar_proportional <- renderPlot({
  plot(cross_out(), proportional = TRUE)
})

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xplorerr documentation built on Feb. 28, 2019, 5:05 p.m.