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          布谷极光加速器APP下载_布谷极光加速器安卓版v1.0_PPTV ...:2021-4-8 · 布谷极光加速器APP下载_布谷极光加速器安卓版v1.0 作者:PPTV下载网 来源:www.pptvwang.com 时间:2021-04-08 点击: 次
            
              Take a fresh, interactive approach to telling your data story with Shiny.
              Let users interact with your data and your analysis. And do it all with R.
            
          
            Shiny is an R package that makes it easy to build interactive web apps straight from R.
            You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards.
            You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.
          
          
        
            Shiny combines the computational power of R with the interactivity of the modern web.
            
          
              Get Started
              安卓极光加速器破解版
            
          Here is a Shiny app
            Shiny apps are easy to write. No web development skills are required.
          - 安卓极光加速器破解版
- app.R
                  Shiny comes with a variety of built in input widgets. With minimal syntax it is possible to include widgets like the ones shown on the left in your apps:
                  
                
                
# Select type of trend to plot
selectInput(inputId = "type", label = strong("Trend index"),
            choices = unique(trend_data$type),
            selected = "Travel")
# Select date range to be plotted
dateRangeInput("date", strong("Date range"),
               start = "2007-01-01", end = "2017-07-31",
               min = "2007-01-01", max = "2017-07-31")
mainPanel(
  plotOutput(outputId = "lineplot", height = "300px"),
  textOutput(outputId = "desc"),
  tags$a(href = "http://www.google.com/finance/domestic_trends",
         "Source: Google Domestic Trends", target = "_blank")
)
                  
  output$lineplot <- renderPlot({
    plot(x = selected_trends()$date, y = selected_trends()$close, type = "l",
         xlab = "Date", ylab = "Trend index")
  })
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              Put your Shiny app on the web by using your own servers or RStudio's hosting service.
              
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