The code below generates two tables, Table1 and Table2. When I press the Download
button, I can download Table 1 only. This is working fine, but I would like to download Table 2 as well. Download the two tables together if possible.
I tried doing the following: writexl::write_xlsx(data_subset(), data_subset2(), path = file)
, but it didn't work. Can you help me?
I inserted an executable code below for you to test.
library(shiny)
library(shinythemes)
library(dplyr)
library(writexl)
Test <- structure(list(date2 = structure(c(18808, 18808, 18809, 18810
), class = "Date"), Category = c("FDE", "ABC", "FDE", "ABC"),
coef = c(4, 1, 6, 1)), row.names = c(NA, 4L), class = "data.frame")
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
fluidPage(
fluidRow(
br(), br(),
column(4,
wellPanel(
uiOutput("daterange"),
downloadButton("dl", "Download")
)),
column(8,
tabsetPanel(
tabPanel("Table1", dataTableOutput('table')),
tabPanel("Table2", dataTableOutput('table2'))
)))
))))
server <- function(input, output,session) {
data <- reactive(Test)
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
start = min(data()$date2),
end = max(data()$date2))
})
data_subset <- reactive({
req(input$daterange1)
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
subset(data(), date2 %in% days)
})
output$table <- renderDataTable({
data_subset()
})
data_subset2 <- reactive({
req(input$daterange1)
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
subset(data(), date2 %in% days)
})
output$table2 <- renderDataTable({
data_subset2()
})
output$dl <- downloadHandler(
filename = function() { "data.xlsx"},
content = function(file) {
writexl::write_xlsx(data_subset(), path = file)
}
)
}
shinyApp(ui = ui, server = server)
CodePudding user response:
Try this
library(shiny)
library(shinythemes)
library(dplyr)
library(writexl)
Test <- structure(list(date2 = structure(c(18808, 18808, 18809, 18810
), class = "Date"), Category = c("FDE", "ABC", "FDE", "ABC"),
coef = c(4, 1, 6, 1)), row.names = c(NA, 4L), class = "data.frame")
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
fluidPage(
fluidRow(
br(), br(),
column(4,
wellPanel(
uiOutput("daterange"),
downloadButton("dl", "Download")
)),
column(8,
tabsetPanel(
tabPanel("Table1", dataTableOutput('table')),
tabPanel("Table2", dataTableOutput('table2'))
)))
))))
server <- function(input, output,session) {
data <- reactive(Test)
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
start = min(data()$date2),
end = max(data()$date2))
})
data_subset <- reactive({
req(input$daterange1)
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
subset(data(), date2 %in% days)
})
output$table <- renderDataTable({
data_subset()
})
data_subset2 <- reactive({
req(input$daterange1)
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
subset(data(), date2 %in% days)
})
output$table2 <- renderDataTable({
data_subset2()
})
output$dl <- downloadHandler(
filename = function() {"data.xlsx"},
content = function(file) {
#writexl::write_xlsx(df_list, path = file)
tbl1<-data_subset()
tbl2<-data_subset2()
sheets <- mget(ls(pattern = "tbl")) # getting all objects in your environment with tbl in the name
names(sheets) <- paste0("Table", seq_len(length(sheets))) # changing the names in your list
writexl::write_xlsx(sheets, path = file) # saving the file
}
)
}
shinyApp(ui = ui, server = server)