I have the shiny app below in which the user uploads a file (here I just put the dt in a reactive function) and from there he can choose which columns he wants to display as selectInput() via a pickerInput(). Then he should be able to click on Update and see the table.
The user should also be able to update the value1 values by multiplying all of them with the numericInput() value1 and create a new sliderInput() and therefore update the dataframe that is displayed in the table as well. These changes should be applied only when the user clicks on Update2 actionbutton.
The problem is that dataframe should basically be affected by 2 actionbuttons and Im not sure that can be applied. The Update2 will work only when the numericInput() value1 is used.
library(shiny)
library(shinyWidgets)
library(DT)
# ui object
ui <- fluidPage(
titlePanel(p("Spatial app", style = "color:#3474A7")),
sidebarLayout(
sidebarPanel(
uiOutput("inputp1"),
#Add the output for new pickers
uiOutput("pickers"),
actionButton("button", "Update")
),
mainPanel(
DTOutput("table"),
numericInput("num", label = ("value"), value = 1),
actionButton("button2", "Update 2")
)
)
)
# server()
server <- function(input, output, session) {
DF1 <- reactiveValues(data=NULL)
dt <- reactive({
name<-c("John","Jack","Bill")
value1<-c(2,4,6)
dt<-data.frame(name,value1)
})
observe({
DF1$data <- dt()
})
output$inputp1 <- renderUI({
pickerInput(
inputId = "p1",
label = "Select Column headers",
choices = colnames( dt()),
multiple = TRUE,
options = list(`actions-box` = TRUE)
)
})
observeEvent(input$p1, {
#Create the new pickers
output$pickers<-renderUI({
dt1 <- DF1$data
div(lapply(input$p1, function(x){
if (is.numeric(dt1[[x]])) {
sliderInput(inputId=x, label=x, min=min(dt1[[x]]), max=max(dt1[[x]]), value=c(min(dt1[[x]]),max(dt1[[x]])))
}else { # if (is.factor(dt1[[x]])) {
selectInput(
inputId = x, # The col name of selected column
label = x, # The col label of selected column
choices = dt1[,x], # all rows of selected column
multiple = TRUE
)
}
}))
})
})
dt2 <- eventReactive(input$button, {
req(input$num)
dt <- DF1$data ## here you can provide the user input data read inside this observeEvent or recently modified data DF1$data
dt$value1<-dt$value1*isolate(input$num)
dt
})
observe({DF1$data <- dt2()})
output_table <- reactive({
req(input$p1, sapply(input$p1, function(x) input[[x]]))
dt_part <- dt2()
for (colname in input$p1) {
if (is.factor(dt_part[[colname]]) && !is.null(input[[colname]])) {
dt_part <- subset(dt_part, dt_part[[colname]] %in% input[[colname]])
} else {
if (!is.null(input[[colname]][[1]])) {
dt_part <- subset(dt_part, (dt_part[[colname]] >= input[[colname]][[1]]) & dt_part[[colname]] <= input[[colname]][[2]])
}
}
}
dt_part
})
output$table<-renderDT({
output_table()
})
}
# shinyApp()
shinyApp(ui = ui, server = server)