r - 调整重置按钮位置并以闪亮显示
问题描述
我在下面输入了一个代码作为示例。我相信只有使用此代码,您才有可能帮助我。我想要的是:首先,我希望我的重置按钮仅在选择日历中的日期时出现。在observeEvent(input$reset
,我输入了req(input$date2)
,但它没有用。第二件事是我希望重置按钮出现在另一个sidebarPanel
下方。
可执行代码如下:
library(shiny)
library(shinythemes)
library(dplyr)
ui <- fluidPage(
ui <- shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput("date"),
uiOutput("mycode"),
actionButton("reset", "Reset"),
br(),
),
mainPanel(
tabsetPanel(
tabPanel("", plotOutput("graph",width = "100%", height = "600")
)
),
))
)))
server <- function(input, output,session) {
#data <- reactive(function.test())
output$date <- renderUI({
req(data())
all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")
disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")
dateInput(input = "date2",
label = h4("Data"),
min = min(data()$date2),
max = max(data()$date2),
value = min(data()$date2),
format = "dd-mm-yyyy",
datesdisabled = disabled)
})
output$mycode <- renderUI({
req(input$date2)
df1 <- data()
df2 <- df1[as.Date(df1$date2) %in% input$date2,]
selectInput("code", label = h4("Category"),choices=unique(df2$Category))
})
output$graph <- renderPlot({
req(input$date2,input$code)
f1(data(),as.character(input$date2),as.character(input$code))
})
my <- reactiveValues(plot=NULL)
output$graph <- renderPlot({
if (!is.null(input$date2) & !is.null(input$code)) {
my$plot <- f1(data(),as.character(input$date2),as.character(input$code))
}else {
my$plot <- NULL
}
my$plot
})
observeEvent(input$reset, {
req(input$date2)
df1 <- data()
my$plot <- NULL
updateDateInput(session, 'date2', value = NA)
updateSelectInput(session, 'code', h4("Category"),choices= unique(df1$Category), selected=character(0))
})
}
shinyApp(ui = ui, server = server)
像这样:
解决方案
尝试
conditionalPanel(
condition = "output.mycode",
actionButton("reset", "Reset")
),
完整代码
function.test<-function(){
df1 <- structure(
list(date1= c("2021-06-28","2021-06-28","2021-06-28"),
date2 = c("2021-07-01","2021-07-02","2021-07-04"),
Category = c("ABC","ABC","ABC"),
Week= c("Wednesday","Wednesday","Wednesday"),
DR1 = c(4,1,0),
DR01 = c(4,1,0), DR02= c(4,2,0),DR03= c(9,5,0),
DR04 = c(5,4,0),DR05 = c(5,4,0),DR06 = c(5,4,0),DR07 = c(5,4,0),DR08 = c(5,4,0)),
class = "data.frame", row.names = c(NA, -3L))
return(df1)
}
library(shiny)
library(shinythemes)
library(dplyr)
ui <- fluidPage(
ui <- shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
fluidRow(
column(3,
wellPanel(uiOutput("date"),
uiOutput("mycode")
),
conditionalPanel(condition = "output.mycode", actionButton("reset", "Reset") )
),
column(9,
wellPanel(
plotOutput("graph",width = "100%", height = "600")
))
)
))
server <- function(input, output,session) {
data <- reactive(function.test())
output$date <- renderUI({
req(data())
all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")
disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")
dateInput(input = "date2",
label = h4("Data"),
min = min(data()$date2),
max = max(data()$date2),
value = NA, # min(data()$date2),
format = "dd-mm-yyyy",
datesdisabled = disabled)
})
output$mycode <- renderUI({
req(input$date2)
df1 <- data()
df2 <- df1[as.Date(df1$date2) %in% input$date2,]
selectInput("code", label = h4("Category"),choices=unique(df2$Category))
})
output$graph <- renderPlot({
req(input$date2,input$code)
f1(data(),as.character(input$date2),as.character(input$code))
})
my <- reactiveValues(plot=NULL)
output$graph <- renderPlot({
if (!is.null(input$date2) & !is.null(input$code)) {
my$plot <- plot(cars) ### f1(data(),as.character(input$date2),as.character(input$code))
}else {
my$plot <- NULL
}
my$plot
})
observeEvent(input$reset, {
df1 <- data()
my$plot <- NULL
updateDateInput(session, 'date2', value = NA)
})
}
shinyApp(ui = ui, server = server)
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