Shiny reactive selectInput in R

I have an application shiny containing reactive data. I would like the application to select only non-empty columns for the X and Y axes. At the moment I choose between colnames(TD[,3:7]), but there are also empty values for columns, so I don't want these columns to show up for the variable selection. Below is an example and my code:

type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
library(readxl)
library(shiny)
library(ggplot2)
library(shinythemes)
library(DT)
ui <-shinyUI(fluidPage(pageWithSidebar( headerPanel("Test App"), sidebarPanel( selectInput("type","Choose a type", choices = c("All",unique(TD$type))), selectInput("country","Choose an country", choices = c("All",unique(TD$country))), selectInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])), selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])), actionButton("goButton", "Update") ), mainPanel( tabsetPanel( tabPanel('Plot', plotOutput("plot1")) ))
)
))
server <- shinyServer(function(input,output, session){ data1 <- reactive({ if(input$type == "All"){ TD } else{ TD[which(TD$type == input$type),] } }) data2 <- eventReactive(input$goButton,{ if (input$country == "All"){ TD }else{ TD[which(TD$country == input$country),] } }) observe({ if(input$type != "All"){ updateSelectInput(session,"country","Choose a country", choices = c("All",unique(data1()$country))) } else if(input$country != 'All'){ updateSelectInput(session,"type","Choose a type", choices = c('All',unique(data2()$type))) } else if (input$type == "All" & input$country == "All"){ updateSelectInput(session,"country","Choose a country", choices = c('All',unique(TD$country))) updateSelectInput(session,"type","Choose a type", choices = c('All',unique(TD$type))) } }) data3 <- eventReactive( input$goButton,{ req(input$goButton) req(input$goButton) if(input$country == "All"){ data1() } else if (input$type == "All"){ data2() } else if (input$country == "All" & input$type == "All"){ TD } else { TD[which(TD$country== input$country & TD$type == input$type),] } }) x_var<- eventReactive(input$goButton, { input$xaxis }) y_var <- eventReactive(input$goButton,{ input$yaxis }) output$plot1 <- renderPlot({ x <- x_var() y <- y_var() p <- ggplot(data3(),aes(x=data3()[,x], y=data3()[,y])) + geom_line() + geom_point() p + labs(x = x_var(), y = y_var()) + theme(plot.title = element_text(hjust = 0.5, size=20)) })
})
shinyApp(ui,server)

enter image description here

2

1 Answer

Here is a way. It uses the selectize plugin disable_options.

Download the plugin here. Save it under the name selectize-disable-options.js in the www subfolder of the app folder.

Then here is the app:

library(shiny)
library(ggplot2)
CSS <- "
.selectize-dropdown [data-selectable].option-disabled { color: #aaa; cursor: default;
}"
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
ui <- fluidPage( tags$head( tags$script(src = "selectize-disable-options.js"), tags$style(HTML(CSS)) ), titlePanel("Test App"), sidebarLayout( sidebarPanel( selectInput("type","Choose a type", choices = c("All",unique(TD$type))), selectInput("country","Choose an country", choices = c("All",unique(TD$country))), selectizeInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])), selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])), actionButton("goButton", "Update") ), mainPanel( tabsetPanel( tabPanel('Plot', plotOutput("plot1")) ) ) )
)
server <- function(input, output, session){ data1 <- reactive({ if(input$type == "All"){ TD }else{ TD[TD$type == input$type,] } }) data2 <- reactive({ if(input$country == "All"){ TD }else{ TD[TD$country == input$country,] } }) observe({ if(input$type != "All"){ selected_country <- isolate(input$country) countries <- unique(data1()$country) updateSelectInput( session, "country", choices = c("All", countries), selected = ifelse(selected_country %in% countries, selected_country, "All") ) }else if(input$country != 'All'){ selected_type <- isolate(input$type) types <- unique(data2()$type) updateSelectInput( session, "type", choices = c('All', types), selected = ifelse(selected_type %in% types, selected_type, "All") ) }else if(input$type == "All" && input$country == "All"){ updateSelectInput( session, "country", choices = c('All', unique(TD$country)) ) updateSelectInput( session, "type", choices = c('All', unique(TD$type)) ) } }) data3 <- reactive({ if(input$country == "All"){ data1() }else if(input$type == "All"){ data2() }else if(input$country == "All" && input$type == "All"){ TD }else{ TD[which(TD$country== input$country & TD$type == input$type),] } }) observeEvent(data3(), { emptyColumns <- sapply(data3()[,3:7], function(x){ all(is.na(x)) }) choices <- colnames(TD[,3:7]) choices[emptyColumns] <- paste(choices[emptyColumns], "(no data)") updateSelectizeInput( session, "yaxis", choices = choices, options = list( plugins = list( disable_options = list( disableOptions = as.list(choices[emptyColumns]) ) ) ) ) }) data4 <- eventReactive(input$goButton, { data3() }) x_var<- eventReactive(input$goButton, { input$xaxis }) y_var <- eventReactive(input$goButton,{ input$yaxis }) output$plot1 <- renderPlot({ x <- x_var() y <- y_var() p <- ggplot(data4(), aes_string(x=x, y=y)) + geom_line() + geom_point() p + labs(x = x, y = y) + theme(plot.title = element_text(hjust = 0.5, size=20)) })
}
shinyApp(ui,server)

The empty columns are disabled in the select input:

enter image description here

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