在r shiny中创建新变量=现有变量+用户输入

时间:2018-05-06 16:08:42

标签: r shiny

我正在为我的学校开发一个学生成绩的应用程序。

我希望在为每个学生的成绩添加特定数字之后看到失败vs传递的摘要。

以下示例

library(shiny)
biology_num <- c(49,64,74,84)
biology_pass_fail <- ifelse(biology_num < 50, "Fail", "Pass")
First <- data.frame(cbind(biology_num,biology_pass_fail))
First$biology_num <- as.numeric(as.character(First$biology_num))

UI

ui <- fluidPage(
            selectInput("Subject",
                        "Choose Subject",
                         choices=list("biology")),
            numericInput("Addition","If we added","1"),
            tableOutput("table"),
            tableOutput("table2")
   )

服务器 以下是问题

server <- shinyServer(function(input,output){
#Here I want to create a new dataframe that combines 
#the existing grades + the potential add      

New_biology <- reactive({
as.data.frame(cbind(New_biology_num+input$Addition))

New_biology$New_biology_pass_fail <- 
          as.factor(ifelse(New_biology$New_biology_num <50,"Fail","Pass"))
     })

output$table <- renderTable(as.table(summary(First$biology_pass_fail)))

output$table2 <- renderTable(as.table(summary({New_biology$New_biology_pass_fail()})))
    }
)

shinyApp(ui,server)

然后我收到错误

类型&#39;关闭的对象&#39;不是子集表格

我将New_biology$New_biology_pass_fail传递给output$table2reactive公式的方式并不正确。

非常感谢您的指导!

1 个答案:

答案 0 :(得分:0)

这似乎按照你喜欢的方式工作:

library(shiny)
biology_num <- c(49, 64, 74, 84)
biology_pass_fail <- ifelse(biology_num < 50, "Fail", "Pass")

# DON'T call data.frame(cbind()). Just use data.frame()!
First <- data.frame(biology_num, biology_pass_fail)

ui <- fluidPage(
  selectInput("Subject",
              "Choose Subject",
              choices=list("biology")),
  numericInput("Addition","If we added","1"),
  tableOutput("table"),
  tableOutput("table2")
)

server <- function(input,output) {  

  New_biology <- reactive({
    New_biology_num <- biology_num + input$Addition

    data.frame(New_biology_num,
               New_biology_pass_fail = as.factor(ifelse(New_biology_num < 50, "Fail", "Pass")))    
  })

  output$table <- renderTable(First)

  output$table2 <- renderTable(New_biology())
}

shinyApp(ui, server)

知道反应元素是功能是很重要的。因此,如果您创建一个反应元素(在本例中为New_biology),则需要将其作为函数调用以返回一个值(即New_biology())。如果反应元素返回data.frame,并且您想要访问特定列,则需要在函数调用后应用访问器(例如New_biology()$New_biology_pass_fail)。