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())
})
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