How to put 2 possibles eventReactive in only one variable - r

Question

I am building a Shiny app which generate a dataframe from a database through the specific function my_function.
I want to use an eventReactive() to attribute the result of my_function depending on different inputs. My problem is that there are 2 ways to select these inputs which are structured in 2 different panels (I need this structure), so I have 2 actionButton that allow me to run my_function, and 1 variable for each eventReactive. Is there a way to put them in only 1 variable ?
df_all is a dataframe with several columns like "VAR1", "YEAR", "TYPE", "AGE" ... I need to filter depending on the inputs.
For the moment I have tried :
library(shiny)
library(shinydashboard)
library(DT)
library(dplyr)
df_all <- data.frame(
VAR1 = c(rep("A", 2), "B", "C")
YEAR = (rep(2001, 3), 2002)
TYPE = c("t1", "t2", "t2", "t1")
)
my_function <- function(arg1, arg2, arg3)
{
df = data.frame(
v1 = paste(arg1, arg2)
v2 = arg3
)
return(df)
}
shinyUI(dashboardPage(
dashboardHeader("title"),
dashboardSidebar(
sidebarMenu(id = "menu",
menuItem("Item1", tabName = "item1")
)),
dashboardBody(
tabItems(
tabItem(tabName = "item1",
selectInput(inputId = "var1", label = NULL, choices = c("A", "B", "C")),
tabsetPanel(
tabPanel("Item1-Panel1",
uiOutput("ui_year1"),
uiOutput("ui_type1"),
div(actionButton(inputId = "extra1", label = "Run", icon = icon("play")))),
tabPanel("Item1-Panel2",
uiOutput("ui_year2"),
uiOutput("ui_type2"),
div(actionButton(inputId = "extra2", label = "Run", icon = icon("play")))),
tabPanel("Item1-Panel3",
DT::dataTableOutput("tableau_ext1"),
DT::dataTableOutput("tableau_ext2"),
downloadButton("downloadCSV", "Save (CSV)"))
))))))
shinyServer(function(input, output) {
output$ui_year1 <- renderUI({
checkboxGroupInput(inputId = "year1", label = NULL, choices = df_all %>% filter(CULTURE == input$var1) %>% select(YEAR) %>% distinct() %>% pull()
})
output$ui_type1 <- renderUI({
checkboxGroupInput(inputId = "type1", label = NULL, choices = sort(df_all %>% filter(VAR1 == input$cult, YEAR %in% input$year1) %>% select(TYPE) %>% distinct() %>% pull())
})
output$ui_year2 <- renderUI({
checkboxGroupInput(inputId = "year2", label = NULL, choices = df_all %>% filter(VAR1 == input$var1) %>% select(YEAR) %>% distinct() %>% pull()
})
output$ui_type2 <- renderUI({
checkboxGroupInput(inputId = "type2", label = NULL, choices = sort(df_all %>% filter(VAR1 == input$cult, YEAR %in% input$year2) %>% select(TYPE) %>% distinct() %>% pull())
})
df1 <- eventReactive(input$extra1, {
my_function(arg1 = input$cult,
arg2 = as.numeric(input$year1),
arg3 = as.character(input$type1))
})
df2 <- eventReactive(input$extra2, {
my_function(arg1 = input$cult,
arg2 = as.numeric(input$year2),
arg3 = as.character(input$type2))
})
})
I tried to attribute the 2 eventReactive in 1 variable df, because I want to see and save the dataframe generated by my_function with :
shinyServer([...]
df <- eventReactive(input$extra1, {
my_function(arg1 = input$cult,
arg2 = as.numeric(input$year1),
arg3 = as.character(input$type1))
})
df <- eventReactive(input$extra2, {
my_function(arg1 = input$cult,
arg2 = as.numeric(input$year2),
arg3 = as.character(input$type2))
})
output$tableau_ext1 <- DT::renderDataTable({
df()
})
output$downloadCSV <- downloadHandler(
filename = function() {
paste0(input$year1, "_", input$type1, ".csv")
},
content = function(file) {
write.csv2(df(), file, row.names = FALSE)
}
)
)
But it didn't worked... If someone knows how to solve my problem, I will be grateful for his help :)

Answer 1

Building off of this thread the following seems to achieve the desired behavior (if I understand everything correctly):
library(shiny)
my_fun <- function() {
x <- sample(x=nrow(iris), size = 6)
x
}
ui <- fluidPage(
tabsetPanel(
tabPanel(title = "panel1",
actionButton("go1", "go 1")),
tabPanel(title = "panel2",
actionButton("go2", "go 2"))
),
mainPanel(dataTableOutput("tab"))
)
server <- function(input, output) {
df <- eventReactive(c(input$go1, input$go2), {
iris[my_fun(),]
}, ignoreNULL = FALSE, ignoreInit = TRUE)
output$tab <- renderDataTable({
df()
})
}
shinyApp(ui, server)
See also ?eventReactive for the ignoreNULL and ignoreInit options.
Edit: Two functions, one eventReactive, and keep track of tabs to know what to render.
library(shiny)
library(dplyr)
go1_fun <- function() {
x <- filter(iris, Species == "setosa") %>% head
x
}
go2_fun <- function() {
x <- filter(iris, Species == "virginica") %>% head
x
}
ui <- fluidPage(
tabsetPanel(id = "tabs",
tabPanel(title = "panel1",
actionButton("go1", "go 1")),
tabPanel(title = "panel2",
actionButton("go2", "go 2"))
),
mainPanel(dataTableOutput("tab"))
)
server <- function(input, output, session) {
df1 <- reactive({
if (req(input$go1)) {
x <- go1_fun()
}
return(x)
})
df2 <- reactive({
if (req(input$go2)) {
x <- go2_fun()
}
return(x)
})
tab_to_render <- eventReactive(c(input$go1, input$go2), {
if (input$tabs == "panel1") x <- df1()
if (input$tabs == "panel2") x <- df2()
return(x)
}, ignoreNULL = FALSE, ignoreInit = TRUE)
output$tab <- renderDataTable({
tab_to_render()
})
}
shinyApp(ui, server)