inst/app-descriptr/logic/logic_freq_quant.R

In xplorerr: Tools for Interactive Data Exploration

observeEvent(input$finalok, {
    num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
    if (is.null(dim(num_data))) {
        k <- final_split$train %>% map(is.numeric) %>% unlist()
        j <- names(which(k == TRUE))
        numdata <- tibble::as_data_frame(num_data)
        colnames(numdata) <- j
        updateSelectInput(session, inputId = "var_freq_quant",
          choices = names(numdata))
        updateSliderInput(session = session,
          inputId = 'filter_quant',
          min = min(numdata),
          max = max(numdata),
          step = 1,
          value = c(min(numdata), max(numdata))
        )
      } else if (ncol(num_data) < 1) {
        updateSelectInput(session, inputId = "var_freq_quant",
            choices = '', selected = '')
        updateSliderInput(session = session,
                        inputId = 'filter_quant',
                        value = '')
      } else {
          updateSelectInput(session, 'var_freq_quant',
            choices = names(num_data), selected = names(num_data))
          updateSliderInput(session = session,
                        inputId = 'filter_quant',
                        min = min(num_data),
                        max = max(num_data),
                        step = 1,
                        value = c(min(num_data), max(num_data))
          )
      }


})

observeEvent(input$submit_part_train_per, {
    num_data <- final_split$train[, sapply(final_split$train, is.numeric)]
    if (is.null(dim(num_data))) {
        k <- final_split$train %>% map(is.numeric) %>% unlist()
        j <- names(which(k == TRUE))
        numdata <- tibble::as_data_frame(num_data)
        colnames(numdata) <- j
        updateSelectInput(session, inputId = "var_freq_quant",
          choices = names(numdata))
        updateSliderInput(session = session,
          inputId = 'filter_quant',
          min = min(numdata),
          max = max(numdata),
          step = 1,
          value = c(min(numdata), max(numdata))
        )
      } else if (ncol(num_data) < 1) {
        updateSelectInput(session, inputId = "var_freq_quant",
            choices = '', selected = '')
        updateSliderInput(session = session,
                        inputId = 'filter_quant',
                        value = '')
      } else {
          updateSelectInput(session, 'var_freq_quant',
            choices = names(num_data), selected = names(num_data))
          updateSliderInput(session = session,
                        inputId = 'filter_quant',
                        min = min(num_data),
                        max = max(num_data),
                        step = 1,
                        value = c(min(num_data), max(num_data))
          )
      }


})

# selected data
d_freq_quant <- eventReactive(input$submit_fquant, {
    data <- final_split$train[, input$var_freq_quant]
})

# update filter slider
observe({
  updateSliderInput(session = session,
                      inputId = 'filter_quant',
                      min = min(d_freq_quant()),
                      max = max(d_freq_quant()),
                      step = 1,
                      value = c(min(d_freq_quant()), max(d_freq_quant()))
    )
})

# # filters
fil_quant_data <- reactive({

  min_data <- input$filter_quant[1]
  max_data <- input$filter_quant[2]

  # f_data <- d_summary()[d_summary()[, 1] >= min_data & d_summary()[, 1] <= max_data, 1]
  f_data <- d_freq_quant()[d_freq_quant() >= min_data & d_freq_quant() <= max_data]
  fdata <- as.data.frame(f_data)
  names(fdata) <- as.character(input$var_freq_quant)
  fdata
})

fquant_out <- eventReactive(input$submit_fquant, {
  ko <- ds_freq_table(fil_quant_data(),
                     !! sym(as.character(input$var_freq_quant)),
                     input$bins)
  ko
})

f2_title <- eventReactive(input$submit_fquant, {
  h3('Histogram')
})

output$freq2_title <- renderUI({
  f2_title()
})


output$freq_quant <- renderPrint({
  fquant_out()
})

output$hist_freq_quant <- renderPlot({
	plot(fquant_out())
})