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我正在開發一個Shiny應用程序與情節(plot1在代碼中)反應的數據表(rhandsontable),它顯示在桌上選擇的項目。 表格非常大,所以您必須向下滾動以查看所有內容。但是我希望情節總是可見的,所以當你向下滾動表格時,要在版面中修正。 還有嗎?我做了很多研究,但任何可以幫助我的答案。我怎樣才能得到一個固定plotOutput在閃亮
我的UI代碼是:
ui <- dashboardPage(
dashboardHeader(title = "IG Suppliers: Tim"),
dashboardSidebar(
sidebarMenu(
menuItem("Data Cleansing", tabName = "DataCleansing", icon = icon("dashboard")),
selectInput("supplier","Supplier:", choices = unique(dt_revision_tool$Supplier)),
#selectInput("supplier","Supplier:", choices = 'Phillips'),
selectInput("segment","Segment:", choices = unique(dt_revision_tool$Segment_Name), multiple = TRUE, selected = unique(dt_revision_tool$Segment_Name)[1]),
#selectInput("segment","Segment:", choices = sgm),
selectInput("alert","Alert", choices = unique(dt_revision_tool$Alert),selected = "Yes"),
#selectInput("alert","Alert", choices = c('Yes','No'),selected = "Yes"),
selectInput("dfu","DFU", choices = c("NULL",unique(dt_revision_tool$DFU)),selected = "NULL"),
tags$hr()
# h5("Save table",align="center"),
#
# div(class="col-sm-6",style="display:inline-block",
# actionButton("save", "Save"),style="float:center")
)
),
dashboardBody(
shinyjs::useShinyjs(),
#First Tab
tabItems(
tabItem(tabName= "DataCleansing",
fluidPage(theme="bootstrap.css",
fluidRow(
plotOutput('plot1')
),
fluidRow(
verbatimTextOutput('selected'),
rHandsontableOutput("hot")
)
)
)
# #Second Tab
# tabItem(tabName = "Forecast",
# h2('TBA')
# )
)
)
)
服務器的代碼是:
server <- shinyServer(function(input, output) {
if (file.exists("DF.RData")==TRUE){
load("DF.RData")
}else{
load("DF1.RData")
}
rv <- reactiveValues(x=dt_revision_tool)
dt <- reactiveValues(y = DF)
observe({
output$hot <- renderRHandsontable({
view = data.table(update_view(rv$x,input$alert,input$segment,input$supplier,dt$y,input$dfu))
if (nrow(view)>0){
rhandsontable(view,
readOnly = FALSE, selectCallback = TRUE, contextMenu = FALSE) %>%
hot_col(c(1:12,14),type="autocomplete", readOnly = TRUE)
}
})
})
observe({
if (!is.null(input$hot)) {
aux = hot_to_r(input$hot)
aux = subset(aux, !is.na(Cleansing_Suggestion) | Accept_Cleansing,select=c('DFU','Week','Cleansing_Suggestion',
'Accept_Cleansing'))
names(aux) = c('DFU','Week','Cleansing_Suggestion_new','Accept_Cleansing_new')
dt$y = update_validations(dt$y,aux)
DF = dt$y
save(DF, file = 'DF.RData')
}
})
output$plot1 <- renderPlot({
view = data.table(update_view(rv$x,input$alert,input$segment,input$supplier,dt$y,input$dfu))
if (nrow(view)>0){
if (!is.null((data.table(update_view(rv$x,input$alert,input$segment,input$supplier,dt$y,input$dfu)))[input$hot_select$select$r]$DFU)) {
s = make_plot2(rv$x,(data.table(update_view(rv$x,input$alert,input$segment,input$supplier,dt$y,input$dfu)))[input$hot_select$select$r]$DFU,(data.table(update_view(rv$x,input$alert,input$segment,input$supplier,dt$y,input$dfu)))[input$hot_select$select$r]$Article_Name)
print(s)
}
}
})
})
任何幫助或想法會受到歡迎!
謝謝!
阿依
你能提供服務器代碼和可再現的數據來渲染應用程序嗎? –
@raistlin我可以提供服務器代碼,但不提供數據,因爲它是保密的。但我認爲這可能更簡單,只是通過UI進行學習。我現在將用服務器代碼修改我的問題。謝謝 – Aida