我对我的应用有一些要求。
{1} 重新调整 mainPanel 后，esquisserUI 过滤器不再弹出。这是我遵循的工作示例 https://dreamrs.github.io/esquisse/articles/shiny-usage.html
此外，我还查看了这个 GitHub 问题，但它是为了禁用过滤器:https://github.com/dreamRs/esquisse/issues/71
关于一般信息的最终请求:
{2} server = FALSE 会为庞大的数据集做什么？ ( https://rstudio.github.io/DT/server.html ) DT 建议将其默认设置为 TRUE 状态，但是如果我这样做，我不会在下载时获得完整数据。我只获取当前页面中的数据。有没有预见到的问题？
谢谢，这是一个可重现的例子。
library(shiny)
library(shinyjs)
library(shinyWidgets)
library(esquisse)
library(shinythemes)
library(xlsx)
library(DT)
# Credit: @Iz100 helped me a lot with UI.
ui <- fluidPage(
theme = shinytheme("simplex"),
useShinyjs(),
# Create Right Side Text
navbarPage(
title= div(HTML("G<em>T</em>")),
tabPanel("Data Set Info",
materialSwitch(inputId = "toggleSidebar", label = "Toggle Panel: ",
value = TRUE, status = "warning"),
sidebarLayout(
# radio/action buttons
sidebarPanel(
id = "Sidebar",
prettyRadioButtons(
inputId = "controller",
label = "Choose:",
choices = c("About"= 1,
"iris"= 2,
"mtcars" = 3),
icon= icon("check"),
selected = 1,
status = "success",
animation="smooth"
),
br(),
br(),
a(actionButton(inputId = "admin_email", label = "Contact Admin",
icon = icon("envelope", lib = "font-awesome")),
href="mailto:my_awesome_email_address.com")
),
#panel where output is shown from server
mainPanel(
id = "main_panel",
tabsetPanel(
id = "hidden_tabs",
type = "hidden",
tabPanelBody(
"panel1", "navigation"
),
tabPanelBody(
"panel2",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel1_data')),
tabPanel("Summary", verbatimTextOutput("panel1_sum")),
tabPanel(
"Plot",
esquisserUI(
id = "esquisse2",
header = FALSE,
choose_data = FALSE
)
)
)
),
tabPanelBody(
"panel3",
tabsetPanel(
tabPanel("Data", DT::DTOutput('panel3_data')),
tabPanel("Summary", verbatimTextOutput("panel3_sum")),
tabPanel(
"Plot",
esquisserUI(
id = "esquisse3",
header = FALSE,
choose_data = FALSE
)
)
)
)
)
)
)
) ,
#resizes the navbar tabs/button
tags$head(tags$style(HTML('.navbar-brand {width: 270px; font-size:35px; text-align:left;}')))
)
)
server <- function(input, output, session) {
# this event hides the side panel when toggled on/off
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
myModal <- function() {
div(id = "Download_DATA",
modalDialog(easyClose = TRUE,
title = "Alert!",
"Please remove all the filters if you want a full dataset.",
br(),
br(),
downloadButton("download_excel","Download as XLSX")
)
)
}
# here we put all the data
data_sets <- list(df1 = data.frame(),
df2= iris,
df3 = mtcars)
# store current dataset in reactive so we can work with plot panels
data_to_use <- reactiveValues(name = "df", data = data.frame())
# modules only need to be called it once but individually for esquisse
callModule(
module = esquisserServer,
id = "esquisse2",
data = data_to_use
)
callModule(
module = esquisserServer,
id = "esquisse3",
data = data_to_use
)
observeEvent(input$controller, {
# skip first panel since it is used to display navigation
updateTabsetPanel(session, inputId= "hidden_tabs", selected = paste0("panel", input$controller))
# enswure value is avilable throught selected tabSet
req(input$controller)
# get current data and df name
data_to_use$data <- data_sets[[as.numeric(input$controller)]]
data_to_use$name <- names(data_sets[as.numeric(input$controller)])
# update table and sum
output[[paste0('panel', input$controller, '_data')]] <- DT::renderDT(server = FALSE, {
DT::datatable(data_to_use$data,
filter = 'top',
extensions = 'Buttons',
options = list(scrollY = 600,
scrollX = TRUE,
dom = '<"float-left"l><"float-right"f>rt<"row"<"col-sm-4"B><"col-sm-4"i><"col-sm-4"p>>',
lengthMenu= list(c(10, 25, 50, -1),
c('10', '25', '50','All')),
buttons = list(
list(extend = "collection", text = "Download",
filename = "data_excel",
exportOptions = list(
modifier = list(page = "all")
),
action = DT::JS("function ( e, dt, node, config ) {
Shiny.setInputValue('Download_DATA', true, {priority: 'event'});}"
)
)
),
scrollCollapse= TRUE,
lengthChange = TRUE,
widthChange= TRUE,
rownames = TRUE))})
output[[paste0('panel', input$controller, '_sum')]] <- renderPrint(summary(data_to_use$data))
})
# observes if download is clicked
observeEvent(input$Download_DATA, {
showModal(myModal())
})
# writes to an excel file
output$download_excel <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".xlsx", sep="")
},
content = function(file) {
write.xlsx(data_to_use$data, file, row.names = FALSE)
}
)
}
#runs the app
shinyApp(ui= ui, server= server)
最佳答案
1。我检查了 esquisserUI 的 HTML，如果您使用多个 esquisserUI，它们会为所有下拉菜单提供相同的 ID。这在 HTML 开发中是一个很大的 NO，并且会导致很多问题。他们称它为模块，但他们没有遵循 Shiny 模块指南，在何处对所有 UI ID 使用 NS()。简单的证明是在下面试试这个。然后取消注释第二组 esquisserUI 和 esquisserServer 并重试。您会发现下拉菜单不再有效。
library(esquisse)
ui <- fluidPage(
esquisserUI(
id = "esquisse1",
header = FALSE,
choose_data = FALSE
)#,
# esquisserUI(
# id = "esquisse2",
# header = FALSE,
# choose_data = FALSE
# )
)
server <- function(input, output, session) {
data_to_use <- reactiveValues(data = iris, name = "iris")
callModule(
module = esquisserServer,
id = "esquisse1",
data = data_to_use
)
# callModule(
# module = esquisserServer,
# id = "esquisse2",
# data = data_to_use
# )
}
shinyApp(ui, server)
目前没有直接的解决方法，除非您要求他们修复它。我们需要使用解决方法:
我在主面板中添加了一个名为“plot”的新选项卡，即 esquisserUI，并在数据面板中添加了两个按钮，因此当您单击按钮时，它会跳转到绘图包含正确数据的面板。
library(shiny)
library(shinyjs)
library(shinyWidgets)
library(esquisse)
library(shinythemes)
library(xlsx)
library(DT)
# Credit: @Iz100 helped me a lot with UI.
ns <- NS("myapp")
ui <- fluidPage(
theme = shinytheme("simplex"),
useShinyjs(),
# Create Right Side Text
navbarPage(
title= div(HTML("G<em>T</em>")),
tabPanel("Data Set Info",
materialSwitch(inputId = "toggleSidebar", label = "Toggle Panel: ",
value = TRUE, status = "warning"),
sidebarLayout(
# radio/action buttons
sidebarPanel(
id = "Sidebar",
prettyRadioButtons(
inputId = "controller",
label = "Choose:",
choices = c("About"= 1,
"iris"= 2,
"mtcars" = 3,
"plots" = 4),
icon= icon("check"),
selected = 1,
status = "success",
animation="smooth"
),
br(),
br(),
a(actionButton(inputId = "admin_email", label = "Contact Admin",
icon = icon("envelope", lib = "font-awesome")),
href="mailto:my_awesome_email_address.com")
),
#panel where output is shown from server
mainPanel(
id = "main_panel",
tabsetPanel(
id = "hidden_tabs",
type = "hidden",
tabPanelBody(
"panel1", "navigation"
),
tabPanelBody(
"panel2",
tabsetPanel(
tabPanel(
"Data", DT::DTOutput('panel2_data'),
actionButton("plot2", "Plot iris")
),
tabPanel("Summary", verbatimTextOutput("panel2_sum"))
)
),
tabPanelBody(
"panel3",
tabsetPanel(
tabPanel(
"Data", DT::DTOutput('panel3_data'),
actionButton("plot3", "Plot mtcars")
),
tabPanel("Summary", verbatimTextOutput("panel3_sum"))
)
),
tabPanelBody(
"panel4",
esquisserUI(
id = "esquisse",
header = FALSE,
choose_data = FALSE
)
)
)
)
)
),
#resizes the navbar tabs/button
tags$head(tags$style(HTML('.navbar-brand {width: 270px; font-size:35px; text-align:left;}')))
)
)
server <- function(input, output, session) {
# this event hides the side panel when toggled on/off
observeEvent(input$toggleSidebar, {
shinyjs::toggle(id = "Sidebar", condition = input$toggleSidebar)
if(!isTRUE(input$toggleSidebar)) {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-8').addClass('col-sm-12')")
} else {
shinyjs::runjs("$('#main_panel').removeClass('col-sm-12').addClass('col-sm-8')")
}
})
myModal <- function() {
div(id = "Download_DATA",
modalDialog(easyClose = TRUE,
title = "Alert!",
"Please remove all the filters if you want a full dataset.",
br(),
br(),
downloadButton("download_excel","Download as XLSX")
)
)
}
# here we put all the data
data_sets <- list(df1 = data.frame(),
df2= iris,
df3 = mtcars)
# store current dataset in reactive so we can work with plot panels
data_to_use <- reactiveValues(name = "df", data = data.frame())
# modules only need to be called it once but individually for esquisse
callModule(
module = esquisserServer,
id = "esquisse",
data = data_to_use
)
# go to plot panel if plot button clicked
observeEvent(c(input$plot2, input$plot3), {
updatePrettyRadioButtons(session, "controller", selected = 4)
}, ignoreInit = TRUE)
observeEvent(input$controller, {
# skip first panel since it is used to display navigation
updateTabsetPanel(session, inputId= "hidden_tabs", selected = paste0("panel", input$controller))
# enswure value is avilable throught selected tabSet
# only render data if data panels are selected
req(input$controller %in% 2:3)
# get current data and df name
data_to_use$data <- data_sets[[as.numeric(input$controller)]]
data_to_use$name <- names(data_sets[as.numeric(input$controller)])
# update table and sum
output[[paste0('panel', input$controller, '_data')]] <- DT::renderDT(server = FALSE, {
DT::datatable(data_to_use$data,
filter = 'top',
extensions = 'Buttons',
options = list(scrollY = 600,
scrollX = TRUE,
dom = '<"float-left"l><"float-right"f>rt<"row"<"col-sm-4"B><"col-sm-4"i><"col-sm-4"p>>',
lengthMenu= list(c(10, 25, 50, -1),
c('10', '25', '50','All')),
buttons = list(
list(extend = "collection", text = "Download",
filename = "data_excel",
exportOptions = list(
modifier = list(page = "all")
),
action = DT::JS("function ( e, dt, node, config ) {
Shiny.setInputValue('Download_DATA', true, {priority: 'event'});}"
)
)
),
scrollCollapse= TRUE,
lengthChange = TRUE,
widthChange= TRUE,
rownames = TRUE))})
output[[paste0('panel', input$controller, '_sum')]] <- renderPrint(summary(data_to_use$data))
})
# observes if download is clicked
observeEvent(input$Download_DATA, {
showModal(myModal())
})
# writes to an excel file
output$download_excel <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".xlsx", sep="")
},
content = function(file) {
write.xlsx(data_to_use$data, file, row.names = FALSE)
}
)
}
#runs the app
shinyApp(ui= ui, server= server)
2. 因此 server = TRUE 仅将整个数据集的一小部分发送到大型数据集的 UI。当您滚动或跳转页面时，将发送新数据。这样可以节省时间并具有更好的性能。如果为FALSE，所有数据将被一次发送。想象一下，每次启动应用程序时，您都需要在浏览器中加载一个 2GB 的表，这将有多慢。对于小型数据集，您可以将其保留为 FALSE。
更新 似乎 esquisse 人修复了这个错误。安装开发版本，然后:
ui <- fluidPage(
esquisse_ui(
id = "esquisse1",
header = FALSE
),
esquisse_ui(
id = "esquisse2",
header = FALSE
)
)
server <- function(input, output, session) {
data_to_use <- reactiveValues(data = iris, name = "iris")
esquisse_server(id = "esquisse1", data_rv = data_to_use)
esquisse_server(id = "esquisse2", data_rv = data_to_use)
}
shinyApp(ui, server)
关于r - 如何修复 Shiny 中 esquisserUI 不弹出的过滤器选项？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/66937761/