我正在尝试简化我的闪亮应用程序。但是,正如我所希望的那样,在我尝试的所有过程中,它都无法正常工作。 我的想法是将数据加载到应用程序,执行一些分析并将中间结果返回给用户。目前,我必须加载数据,为要生成的每个输出选择合适的列等:
ui <- shinyServer(
fluidPage(
tabsetPanel(
tabPanel("Data upload",
titlePanel("Data upload"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose CSV File",multiple = TRUE, accept = c("text/csv","text/comma-separated-values,text/plain",".csv")),
tags$hr(),
checkboxInput("header", "Header", TRUE), radioButtons("sep", "Separator", choices = c(Comma = ",", Semicolon = ";",Tab = "\t"), selected = ","),
tags$hr(),
checkboxInput("disp", "Display",TRUE),
tags$hr(),
uiOutput("choose_first_column"),
uiOutput("choose_second_column"),
br()
),
mainPanel(
tableOutput("contents"),
tags$hr(),
tableOutput("tab")
)
)
),
tabPanel("2","2"
)
)
)
)
server <- shinyServer(
function(input, output) {
observe({
req(input$file1)
df <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
output$contents <- renderTable({
(head(df))})
output$choose_first_column <- renderUI({
colnames <- names(df)
selectInput("column_1", "Choose Date column",
choices = colnames,
selected = colnames)})
output$choose_second_column <- renderUI({
colnames <- names(df)
selectInput("column_2", "Choose Variable column",
choices = colnames,
selected = colnames)})
output$tab <- renderTable({
req(input$file1)
df2 <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
df2 <- df2[, c(input$column_1,input$column_2), drop = FALSE]
return(head(df2))})
})
})
runApp(list(ui = ui, server = server))
它可以工作,但是由于我通常有很多数据,并且我想执行一些分析,因此加载和处理每个“输出内容”的数据非常耗时。 有办法避免这种情况吗?例如,是否可以像第二个示例一样加载数据并选择正确的全局列? (我划掉了发生错误的地方)
ui <- shinyServer(
fluidPage(
tabsetPanel(
tabPanel("Data upload",
titlePanel("Data upload"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose CSV File",multiple = TRUE, accept = c("text/csv","text/comma-separated-values,text/plain",".csv")),
tags$hr(),
checkboxInput("header", "Header", TRUE), radioButtons("sep", "Separator", choices = c(Comma = ",", Semicolon = ";",Tab = "\t"), selected = ","),
tags$hr(),
checkboxInput("disp", "Display",TRUE),
tags$hr(),
uiOutput("choose_first_column"),
uiOutput("choose_second_column"),
br()
),
mainPanel(
tableOutput("contents"),
tags$hr(),
tableOutput("tab")
)
)
),
tabPanel("2","2"
)
)
)
)
server <- shinyServer(
function(input, output) {
observe({
req(input$file1)
df <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
output$contents <- renderTable({
(head(df))})
output$choose_first_column <- renderUI({
colnames <- names(df)
selectInput("column_1", "Choose Date column",
choices = colnames,
selected = colnames)})
output$choose_second_column <- renderUI({
colnames <- names(df)
selectInput("column_2", "Choose Variable column",
choices = colnames,
selected = colnames)})
# df <- df[, c(input$column_1,input$column_2), drop = FALSE]
#
# output$tab <- renderTable({
# (head(df))})
})
})
runApp(list(ui = ui, server = server))
输入数据示例:
date time level
01.01.2000 00:00:00 0.3724
01.01.2000 01:00:00 0.192
01.01.2000 02:00:00 -0.0252
我将不胜感激! 艾雪
答案 0 :(得分:0)
据我了解,您收到一个错误消息,因为您定义的数据帧df没有反应。您应该使其具有反应性,因为每次用户选择输入列时它都会改变。
请参阅this以了解反应性。将代码的已删除部分更改为此:
df.selected.columns <- df[c(input$column_1,input$column_2)]
output$tab <- renderTable({
(head(df.selected.columns()))
})