我正在创建一个闪亮的应用程序,其中包含各种图表。它还包括一个用用户日期范围规范更新的表。这很好用,但是当我最初加载应用程序时,表格应该在空白处。理想情况下,我希望在用户甚至更新日期范围规范或单击“提交”之前,先显示此空白数据集。有办法做到这一点吗?我尝试了dataTableProxy(),但未成功。这是我的代码和数据的示例。
样本数据:
County State Case Count Death Count
Cook Illinois 18451 99
Los Angeles California 15704 167
El Paso Texas 11713 37
Maricopa Arizona 6456 54
Tarrant Texas 6448 42
Harris Texas 6219 71
Salt Lake Utah 6216 18
Milwaukee Wisconsin 6057 29
Miami-Dade Florida 5943 87
Clark Nevada 5384 38
代码:
library(shiny)
library(shinycssloaders)
library(DT)
## Reads data
temp <- read.csv()
## Creates Initial Table
table0 <- head(temp[order(temp$Count, decreasing = TRUE),], 10)
ui <- fluidPage(
## Application title
titlePanel("Project"),
tags$hr(),
## Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
dateRangeInput("daterange", "Date Range:",
start = as.character(Sys.Date() - 6),
end = as.character(Sys.Date()),
min = "2020-01-22",
max = Sys.Date()),
checkboxInput("checkBox", "Select all dates", FALSE),
textOutput("dateCheck"),
selectInput("typeChoice", "Data Type:", choices = c("Raw", "Percentage")),
actionButton("submitButton", "Submit", class = "btn btn-primary")
),
mainPanel(
withSpinner(tableOutput('table'))
)
)
)
server <- function(input, output, session) {
observe({
if (input$checkBox == TRUE){
updateDateRangeInput(session,
"daterange",
"Date Range:",
start = "2020-01-22",
end = Sys.Date(),
min = "2020-01-22",
max = Sys.Date())
}
})
## Displays Initial Table
output$table <- renderTable(table0)
observeEvent(input$submitButton, {
## Updates data ##
if (input$typeChoice == "Raw"){
df <- selectdates(start = input$daterange[1], end = input$daterange[2])
df$Total <- df$Count_Sum
} else if (input$typeChoice == "Percentage"){
df <- selectdates(start = input$daterange[1], end = input$daterange[2])
df$Total <- df$Perc_Sum
} else {return(NULL)}
df <- df[order(df$`Variable of Interest`, decreasing = TRUE),]
df <- df[, -c(1, 4, 5, 9)]
df$`Case Count` <- as.integer(df$`Count`)
df$`Death Count` <- as.integer(df$`Death Count`)
## THIS IS WHERE THE PROBLEM IS ##
## Trying to update table with click of button ##
output$table <- renderTable({
head(df[order(df$Count, decreasing = TRUE),], 10)
})
})
}
## Run the application
shinyApp(ui = ui, server = server)
答案 0 :(得分:0)
我的建议是创建一个reactiveValues
对象,以仅显示和定义output$table
一次。您可以如下所示在watchEvent中更新数据框。另外,您可能需要更新filter
。
## Reads data
#temp <- read.csv()
temp<- gapminder[1:1000,]
temp$Count <- temp$fertility
temp$Count_Sum <- temp$population
temp$Perc_Sum <- temp$life_expectancy
temp <- as.data.frame(temp)
## Creates Initial Table
table0 <- head(temp[order(temp$Count, decreasing = TRUE),], 10)
ui <- fluidPage(
## Application title
titlePanel("Project"),
tags$hr(),
## Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
dateRangeInput("daterange", "Date Range:",
start = as.character(Sys.Date() - 6),
end = as.character(Sys.Date()),
min = "1920-01-22",
max = Sys.Date()),
checkboxInput("checkBox", "Select all dates", FALSE),
textOutput("dateCheck"),
selectInput("typeChoice", "Data Type:", choices = c("Raw", "Percentage")),
actionButton("submitButton", "Submit", class = "btn btn-primary")
),
mainPanel(
withSpinner(tableOutput('table'))
)
)
)
server <- function(input, output, session) {
DF1 <- reactiveValues(data=NULL)
observe({
DF1$data <- table0
if (input$checkBox == TRUE){
updateDateRangeInput(session,
"daterange",
"Date Range:",
start = "2020-01-22",
end = Sys.Date(),
min = "1920-01-22",
max = Sys.Date())
}
})
## Displays Initial Table
output$table <- renderTable(DF1$data)
observeEvent(input$submitButton, {
## Updates data ##
if (input$typeChoice == "Raw"){
df <- temp # %>% filter(year, between(year, input$daterange[1], input$daterange[2]))
df$Total <- df$Count_Sum
} else if (input$typeChoice == "Percentage"){
df <- temp # %>% filter(year, between(year, input$daterange[1], input$daterange[2]))
#df <- selectdates(start = input$daterange[1], end = input$daterange[2])
df$Total <- df$Perc_Sum
} else {return(NULL)}
#df <- df[order(df$`Variable of Interest`, decreasing = TRUE),]
#df <- df[, -c(1, 4, 5, 9)]
#df$`Case Count` <- as.integer(df$`Count`)
#df$`Death Count` <- as.integer(df$`Death Count`)
## THIS IS WHERE THE PROBLEM IS ##
## Trying to update table with click of button ##
DF1$data <- df
# output$table <- renderTable({
# head(df[order(df$Count, decreasing = TRUE),], 10)
# })
})
}
## Run the application
shinyApp(ui = ui, server = server)