传递动态输入并更新R SHINY中的视觉 [英] Passing dynamic input and updating visual in R shiny
本文介绍了传递动态输入并更新R SHINY中的视觉的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
## app.R ##
install.packages("bupaR")
install.packages("edeaR")
install.packages("eventdataR")
install.packages("processmapR")
install.packages("processmonitR")
install.packages("xesreadR")
install.packages("petrinetR")
install.packages("shiny")
install.packages("shinydashboard")
library(shiny)
library(shinydashboard)
library(bupaR)
library(edeaR)
library(eventdataR)
library(processmapR)
library(processmonitR)
library(xesreadR)
library(petrinetR)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
selectInput("resources","Select the resource", c("r1","r2","r3","r4","r5"),
selected = "r1",selectize = T)
),
dashboardBody(
filter_resource(patients,resources = c("r1","r2","r4"), reverse = F) %>%
process_map()
))
server <- function(input, output) {
}
shinyApp(ui, server)
推荐答案
您可以
library(shiny)
library(shinydashboard)
library(bupaR)
library(edeaR)
library(eventdataR)
library(processmapR)
library(processmonitR)
library(xesreadR)
library(petrinetR)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
selectInput("resources","Select the resource", c("r1","r2","r3","r4","r5"),selected = "r1",selectize = T)
),
dashboardBody(
uiOutput("ui")
))
server <- function(input, output) {
output$ui <- renderUI({
r <- input$resources
tagList(filter_resource(patients,resources = r, reverse = F) %>% process_map())
})
}
shinyApp(ui, server)
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