我正在尝试开发一个应用程序,它可以帮助用户上传文件并显示摘要统计信息。
我使用下面的UI和服务器代码来实现这一点,一旦我完成文件上传,我就无法看到数据框及其摘要统计信息。
我错过了我的代码,但无法猜测。
ui<-dashboardPage(
dashboardHeader(title = "Claim Model"),
dashboardSidebar(
sidebarMenu(id="tabs",
menuItem("Data", tabName = "data", icon = icon("table"),startExpanded = TRUE,
menuSubItem("Load", tabName = "data1")
),
menuItem("Visualisation",icon=icon("bar-chart-o"), tabName = "vis"),
menuItem("Result", icon=icon("cog"), tabName = "result")
)
),
dashboardBody(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
tabItems(
tabItem(tabName = "data1",
fluidPage(
fluidRow(
fileInput("file1","Choose CSV File",
accept = c("text/csv",
"text/comma-seperated-values, text/plain",
".csv")
),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep","Separator",
choices=c(Comma=",",
semicolon=";",
Tab="\t"),
selected = ";")
),
mainPanel(
tableOutput("contents")
)
)
)
)
)
)
服务器代码。
server <- shinyServer(function(input,output){
output$contents <- renderTable({
req(input$file1)
df <- read.csv(input$file1$datapath,
header=input$header,
sep=input$sep)
})
})
目前我没有用于显示数据框统计信息的代码。如何开始的任何领导都会有所帮助
答案 0 :(得分:1)
以下是一个示例:在dashboardBody()
内,您需要第二个(和第三个)tabItem()
来“填充”menuItem(tabName = "vis")
和menuItem(tabName = "result")
。在服务器中,您需要代码来生成绘图或表格或任何您想要显示的内容。此外,请注意我如何将read.csv()
的输出分配给函数(此处称为DATA()
),以便可以在服务器内的不同位置使用它。
UI:
ui <- dashboardPage(
dashboardHeader(title = "Claim Model"),
dashboardSidebar(
sidebarMenu(id="tabs",
menuItem("Data", tabName = "data", icon = icon("table"),startExpanded = TRUE,
menuSubItem("Load", tabName = "data1")
),
menuItem("Visualisation",icon=icon("bar-chart-o"), tabName = "vis"),
menuItem("Result", icon=icon("cog"), tabName = "result")
)
),
dashboardBody(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
tabItems(
tabItem(tabName = "data1",
fluidPage(
fluidRow(
fileInput("file1","Choose CSV File",
accept = c("text/csv",
"text/comma-seperated-values, text/plain",
".csv")
),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep","Separator",
choices=c(Comma=",",
semicolon=";",
Tab="\t"),
selected = ";")
),
mainPanel(
tableOutput("contents")
)
)
),
tabItem(tabName = "vis", h2("Two Plots"),
fluidRow(
box(
title = "Plot 1", solidHeader = TRUE, collapsible = TRUE,
plotOutput("hist1")
),
box(
title = "Plot 2", solidHeader = TRUE, collapsible = TRUE,
plotOutput("hist2")
)
)
)
)
)
)
服务器:
server <- function(input, output) {
DATA <- reactive({
req(input$file1)
df <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep)
return(df)
})
output$contents <- renderTable(DATA())
output$hist1 <- renderPlot({
tmp1 <- sample(which(apply(DATA(), 2, is.numeric)), 1)
hist(DATA()[, tmp1], breaks = 10, xlab = names(DATA())[tmp1], main = "")
})
output$hist2 <- renderPlot({
tmp1 <- sample(which(apply(DATA(), 2, is.numeric)), 1)
hist(DATA()[, tmp1], breaks = 20, xlab = names(DATA())[tmp1], main = "")
})
}
运行:
library(shiny)
library(shinydashboard)
shinyApp(ui, server)