How to update shiny data frame in real time using checkboxes? - r

Question

I have the following app below, it takes a dataframe which is created in the shiny server, and uses this to generate tab Panels, which in turn checkboxes within each tab panel (3 checkboxes per tab panel) - within each tab panel there is a "select all" box which is supposed to essentially check all of the boxes in that tab panel
So what i need help with - is that i would like it so that if i am on tab 1 and "press" the "select all" button, then it will "check" all those boxes in that tab Panel (and of course "un-pressing" that button will deselect those boxes) - But i would also want the functionality, so that if you select a number of checkboxes in different tabs, then it would update accordingly and will not lose any information, (this includes pressing select all on different tabs also)
So for example i would want the following behaviour:
If you select the "Edibles" Tab > then press "select all" - all 3 checkboxes are selected
Now if you then select the "Fried" tab > then press "cheese" which is one of the options for the individual checkboxes - you will now have in total 4 checkboxes selected, all those from the "edibles" tab and just the one from the "fried" tab
So if we now de-select the "select all" button from the first tab "edibles", it loses all information and the checkbox in "Fried" which was "cheese" no longer is checked,
This is not the behaviour i would want - i would like it to update accordingly and have "cheese" still selected as we have unpressed select all
I have printed off the names of what is being selected where and when on the actual app
code is below:
Any thoughts?
library(shiny)
library(shinydashboard)
library(tidyverse)
library(magrittr)
header <- dashboardHeader(
title = "My Dashboard",
titleWidth = 500
)
siderbar <- dashboardSidebar(
sidebarMenu(
# Add buttons to choose the way you want to select your data
radioButtons("select_by", "Select by:",
c("Food Type" = "Food",
"Gym Type" = "Gym",
"TV show" = "TV"))
)
)
body <- dashboardBody(
fluidRow(
uiOutput("Output_panel")
),
tabBox(title = "RESULTS", width = 12,
tabPanel("Visualisation",
width = 12,
height = 800
)
)
)
ui <- dashboardPage(header, siderbar, body, skin = "purple")
server <- function(input, output, session){
nodes_data_1 <- data.frame(id = 1:15,
Food = as.character(c("Edibles", "Fried", "Home Cooked", "packaged", "vending machine")),
Product_name = as.character(c("Bacon", "Cheese", "eggs", "chips", "beans", "oast", "oats and beans", "fried beans", "chickpeas", "broad beans", "garbanzo", "oat bars", "dog meat", "cat food", "horse meat")),
Price = c(1:15), TV =
sample(LETTERS[1:3], 15, replace = TRUE))
# build a edges dataframe
edges_data_1 <- data.frame(from = trunc(runif(15)*(15-1))+1,
to = trunc(runif(15)*(15-1))+1)
# create reactive of nodes
nodes_data_reactive <- reactive({
nodes_data_1
}) # end of reactive
# create reacive of edges
edges_data_reactive <- reactive({
edges_data_1
}) # end of reactive"che
# The output panel differs depending on the how the data is selected
# so it needs to be in the server section, not the UI section and created
# with renderUI as it is reactive
output$Output_panel <- renderUI({
# When selecting by workstream and issues:
if(input$select_by == "Food") {
food <- unique(as.character(nodes_data_reactive()$Food))
food_panel <- lapply(seq_along(food), function(i) {
### filter the data only once
food_dt <- dplyr::filter(nodes_data_reactive(), Food == food[i])
### Use the id, not the price, as the id is unique
food_ids <- as.character(food_dt$id)
selected_ids <- food_ids[food_ids %in% isolate({chosen_food()})] ### use isolate, so as to not be reactive to it
tabPanel(food[i],
checkboxGroupInput(
paste0("checkboxfood_", i),
label = "Random Stuff",
choiceNames = as.character(food_dt$Product_name), ### for some reason it likes characters, not factors with extra levels
choiceValues = food_ids,
selected = selected_ids
),
checkboxInput(
paste0("all_", i),
"Select all",
value = all(food_ids %in% isolate({chosen_food()}))
)
)
})
box(title = "Output PANEL",
collapsible = TRUE,
width = 12,
do.call(tabsetPanel, c(id = 't', food_panel)),
"Items: ", renderText(paste0(chosen_food(), collapse = ", ")),
"Names: ", renderText(paste0(chosen_food_names(), collapse = ", "))
) # end of Tab box
}
}) # end of renderUI
observe({
lapply(1:length(unique(nodes_data_reactive()$Food)), function(i) {
food <- unique(sort(as.character(nodes_data_reactive()$Food)))
product_choices <- nodes_data_reactive() %>%
filter(Food == food[i]) %>%
select(Product_name) %>%
unlist(use.names = FALSE) %>%
as.character()
product_prices <- nodes_data_reactive() %>%
filter(Food == food[i]) %>%
select(Price) %>%
unlist(use.names = FALSE)
if(!is.null(input[[paste0("all_", i)]])){
if(input[[paste0("all_", i)]] == TRUE) {
updateCheckboxGroupInput(session,
paste0("checkboxfood_", i),
label = NULL,
choiceNames = product_choices,
choiceValues = product_prices,
selected = product_prices)
} else {
updateCheckboxGroupInput(session,
paste0("checkboxfood_", i),
label = NULL,
choiceNames = product_choices,
choiceValues = product_prices,
selected = c()
)
}
}
})
})
chosen_food <- reactive({
unlist(lapply(seq_along(unique(nodes_data_reactive()$Food)), function(i) {
# retrieve checkboxfood_NUMBER value
input[[paste0("checkboxfood_", i)]]
}))
})
chosen_food_names <- reactive({
# turn selected chosen food values into names
nodes_data_reactive()$Product_name[as.numeric(chosen_food())]
})
} # end of server
# Run the application
shinyApp(ui = ui, server = server)

Answer 1

The problem was that you were updating all checkbox groups that didn't have the select all option selected. The solution is to add an if condition that checks to see if all the options are selected or not by comparing the length of input[[paste0("checkboxfood_", i)]] with length of product_choices
Code:
library(shiny)
library(shinydashboard)
library(tidyverse)
library(magrittr)
#################################################
#################### UI.R #######################
#################################################
header <- dashboardHeader(
title = "My Dashboard",
titleWidth = 500
)
siderbar <- dashboardSidebar(
sidebarMenu(
# Add buttons to choose the way you want to select your data
radioButtons("select_by", "Select by:",
c("Food Type" = "Food",
"Gym Type" = "Gym",
"TV show" = "TV"))
)
)
body <- dashboardBody(
fluidRow(
uiOutput("Output_panel")
),
tabBox(title = "RESULTS", width = 12,
tabPanel("Visualisation",
width = 12,
height = 800
)
)
)
ui <- dashboardPage(header, siderbar, body, skin = "purple")
#################################################
################## Server.R #####################
#################################################
server <- function(input, output, session){
nodes_data_1 <- data.frame(id = 1:15,
Food = as.character(c("Edibles", "Fried", "Home Cooked", "packaged", "vending machine")),
Product_name = as.character(c("Bacon", "Cheese", "eggs", "chips", "beans", "oast", "oats and beans", "fried beans", "chickpeas", "broad beans", "garbanzo", "oat bars", "dog meat", "cat food", "horse meat")),
Price = c(1:15), TV =
sample(LETTERS[1:3], 15, replace = TRUE))
# build a edges dataframe
edges_data_1 <- data.frame(from = trunc(runif(15)*(15-1))+1,
to = trunc(runif(15)*(15-1))+1)
# create reactive of nodes
nodes_data_reactive <- reactive({
nodes_data_1
}) # end of reactive
# create reacive of edges
edges_data_reactive <- reactive({
edges_data_1
}) # end of reactive"che
# The output panel differs depending on the how the data is selected
# so it needs to be in the server section, not the UI section and created
# with renderUI as it is reactive
output$Output_panel <- renderUI({
#Select Food
if(input$select_by == "Food") {
food <- unique(as.character(nodes_data_reactive()$Food))
food_panel <- lapply(seq_along(food), function(i) {
### filter the data only once
food_dt <- dplyr::filter(nodes_data_reactive(), Food == food[i])
### Use the id, not the price, as the id is unique
food_ids <- as.character(food_dt$id)
selected_ids <- food_ids[food_ids %in% isolate({chosen_food()})] ### use isolate, so as to not be reactive to it
tabPanel(food[i],
checkboxGroupInput(
paste0("checkboxfood_", i),
label = "Random Stuff",
choiceNames = as.character(food_dt$Product_name), ### for some reason it likes characters, not factors with extra levels
choiceValues = food_ids,
selected = selected_ids
),
checkboxInput(
paste0("all_", i),
"Select all",
value = all(food_ids %in% isolate({chosen_food()}))
)
)
})
box(title = "Output PANEL",
collapsible = TRUE,
width = 12,
do.call(tabsetPanel, c(id = 't', food_panel)),
"Items: ", renderText(paste0(chosen_food(), collapse = ", ")),
"Names: ", renderText(paste0(chosen_food_names(), collapse = ", "))
) # end of Tab box
}
}) # end of renderUI
observe({
lapply(1:length(unique(nodes_data_reactive()$Food)), function(i) {
food <- unique(sort(as.character(nodes_data_reactive()$Food)))
product_choices <- nodes_data_reactive() %>%
filter(Food == food[i]) %>%
select(Product_name) %>%
unlist(use.names = FALSE) %>%
as.character()
product_prices <- nodes_data_reactive() %>%
filter(Food == food[i]) %>%
select(Price) %>%
unlist(use.names = FALSE)
if(!is.null(input[[paste0("all_", i)]])){
if(input[[paste0("all_", i)]] == TRUE) {
updateCheckboxGroupInput(session,
paste0("checkboxfood_", i),
label = NULL,
choiceNames = product_choices,
choiceValues = product_prices,
selected = product_prices)
} else {
if((input[[paste0("all_", i)]] != TRUE) & (length(input[[paste0("checkboxfood_", i)]]) == length(product_choices)))
{
updateCheckboxGroupInput(session,
paste0("checkboxfood_", i),
label = NULL,
choiceNames = product_choices,
choiceValues = product_prices,
selected = c()
)
}}
}
})
})
chosen_food <- reactive({
unlist(lapply(seq_along(unique(nodes_data_reactive()$Food)), function(i) {
# retrieve checkboxfood_NUMBER value
input[[paste0("checkboxfood_", i)]]
}))
})
chosen_food_names <- reactive({
# turn selected chosen food values into names
nodes_data_reactive()$Product_name[as.numeric(chosen_food())]
})
}
# Run the application
shinyApp(ui = ui, server = server)