我正在尝试在Shiny应用中创建一个复选框输入，允许数据产品用户选择所有可用选项，一次选择/取消选择一个选项，并在取消选中复选框组中的所有选项时抛出错误消息。我能够在我的ui.R文件中输入actionLink输入，当用户点击“全部选择”时，选择或取消选择所有选项。并使用正确的值更新绘图。但是，当用户一次取消选择一个选项时，我偶尔会收到错误和警告消息，并且图表不会更新。
据我所知，每隔一段时间＆＃34;社交＆＃34;如果选择/取消选择选项，控制台将抛出错误和警告消息并且图表不会更新，然后如果用户选择/取消选择＆＃34;社交＆＃34;再次选项，绘图更新并且不会抛出任何错误/警告消息。
我想知道这是否与我在server.R文件中设置observe函数的方式有关，我已经在反应式表达式中完成了数据框操作对于＆ssDf＆＃39;，或者我如何定义＆＃39; channels_input＆＃39;反应性表达。
以下是我的ui.R档案中的摘要。
channel_chr <- list("Display" = "Display", "Paid Search" = "Paid Search", "Organic Search" = "Organic Search",
"Email" = "Email", "Social" = "Social", "Direct" = "Direct", "Referral" = "Referral",
"Affiliate" = "Affiliate")
fluidPage(sidebarLayout(
sidebarPanel(
## Other inputs
checkboxGroupInput("channel", label = "Channel(s)",
choices = channel_chr,
selected = as.character(channel_chr)),
actionLink("selectall","Select All"),
## Other inputs
),
mainPanel(
uiOutput("plot_ui"),
ggvisOutput("plot")
)
))
我的server.R文件中的一个相对较小的部分在下面。
channel_chr <- list("Display" = "Display", "Paid Search" = "Paid Search", "Organic Search" = "Organic Search",
"Email" = "Email", "Social" = "Social", "Direct" = "Direct", "Referral" = "Referral",
"Affiliate" = "Affiliate")
shinyServer(function(input, output, session) {
# If "Select All" is chosen in ui.R for input$selectall, select all checkboxes in input$channel
observe({
if (input$selectall == 0) {
## I tried keeping this blank and return(NULL), but saw no difference
} else if (input$selectall > 0 & input$selectall %% 2 == 0) {
updateCheckboxGroupInput(session,"channel","Channel(s)",choices=channel_chr,
selected=as.character(channel_chr))
} else if (input$selectall %% 2 == 1) {
updateCheckboxGroupInput(session,"channel","Channel(s)",choices=channel_chr,
selected=c("Display"))
}
})
channels_input <- reactive ({
temp_chr <- character(length=length(channel_chr))
temp_channel <- input$channel
temp_chr[1:length(temp_channel)] <- temp_channel
return(temp_chr)
})
# A subset of original data frame as reactive function
ssDf <- reactive({
## contains dplyr, plyr, and ddply manipulations of data frame
## according to the user's interactions with ui.R.
## One example of data frame manipulation in ssDf() reactive function
## based on user inputs, and using if/else condition statements
else if (input$[inputB] == [option1] & all(sort(channels_input())!=sort(as.character(channel_chr)))) {
## If channels_input() != channel_chr { filter only those channels where Channel==channels_input() }
filteredDat2 <- dplyr::filter(filteredDat, Channel==channels_input()[1])
for (i in 2:length(channels_input())) {
if (channels_input()[i] != "") {
filteredDat2 <- rbind(filteredDat2, dplyr::filter(filteredDat,
Channel==channels_input()[i]))
}
}
filteredDat2 <- ddply(filteredDat2, .(Date, [Column2]), summarize, sum_[Variable1]=sum([Variable1]),
[Variable2]=weighted.mean([Variable2], [Variable1]),
[Variable3]=weighted.mean([Variable3], [Variable1]),
[Variable4]=weighted.mean([Variable4], [Variable1]),
[Variable5]=weighted.mean([Variable5], [Variable1]))
## Subsequent manipulations removed for brevity.
return(filteredDat2)
})
ssDf %>%
ggvis(~Date, ~[Variable4], stroke = ~TimePeriod) %>%
layer_lines() %>%
add_axis("y", title = [Variable4], title_offset = 50) %>%
scale_datetime("x", domain=c(startNowDate, endNowDate)) %>%
add_tooltip(all_values, "hover") %>%
bind_shiny("plot", "plot_ui")
请注意，为了这篇文章，我用[Column2]，[Variable4]等替换了我的一些列，变量和输入名称。此外，我的工具提示功能尚未起作用，因此请忽略all_values管道中add_tooltip函数中的ggvis函数。
任何帮助确定我出错的地方或使用ggvis调试复杂的Shiny应用程序的提示都将非常感激。
谢谢。