在Shiny-RStudio中的Rhsonsontable中的反应/计算列 [英] Reactive/Calculate Columns in rhandsontable in shiny- rstudio

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本文介绍了在Shiny-RStudio中的Rhsonsontable中的反应/计算列的处理方法,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

我正在尝试向以下交互式表格添加自定义验证.我想做的如下.该表包含三个变量,即mpg,cyl和disp.假设我编辑第一行的mpg值.然后,一旦按Enter键,第一行的disp值应自动更改为disp = mpg/cyl.这里的mpg值是我编辑的新值.同样,如果我再次编辑特定行中的cyl,则该行的disp应该自动更改为disp = mpg/cyl.此外,如果我更改特定行的disp值,则该特定行的cyl应该自动更改为mpg/cyl.我正在尝试找出解决方法.

I am trying to add a custom validation to the following interactive table. What I am trying to do is as follows. The table contains three variables namely mpg,cyl and disp. Suppose I edit the mpg value of the first row. Then once I press the enter button, disp value of the 1st row should be automatically changed calculated as disp=mpg/cyl. Here mpg value being the new value I edited. Likewise if I edit cyl in a particular row again disp of that particular row should be changed automatically evaluated as disp=mpg/cyl. Moreover if I change disp value of a particular row, cyl of that particular row should be changed automatically calculated as mpg/cyl. I am trying to figure it out a way of doing this.

library(shiny)
library(datasets)

ui=fluidPage(

rHandsontableOutput("table1")

)

server=function(input, output, session) {

mt=reactive({

datacopy= mtcars[, names(mtcars) %in% c("mpg" , "cyl" , "disp")]
datacopy=data.table(datacopy)
})  


output$table1=renderRHandsontable({

rhandsontable(mt())



})


}



shinyApp(ui,server)

推荐答案

我想这将实现您想要的目标:

I guess this would achieve what you want:

library(shiny)
library(datasets)
library(rhandsontable)
library(data.table)

ui=fluidPage(

  rHandsontableOutput("table1")

)

server=function(input, output, session) {

  mt=reactive({

    datacopy <- NULL

    #For initial data upload
    if(is.null(input$table1)){
      datacopy= mtcars[, names(mtcars) %in% c("mpg" , "cyl" , "disp")]
      datacopy=data.table(datacopy) 

    }else{
      datacopy = hot_to_r(input$table1)

      #If there is change in data
      if(!is.null(input$table1$changes$changes)){

        row.no <- unlist(input$table1$changes$changes)[1]
        col.no <- unlist(input$table1$changes$changes)[2]
        new.val <- unlist(input$table1$changes$changes)[4]
        #If the changed value is mpg or cyl
        if(col.no == 0 || col.no == 1){
          datacopy[(row.no+1), 3] = datacopy[(row.no+1), 1]/datacopy[(row.no+1), 2]
        }else{
          datacopy[(row.no+1), 2] = datacopy[(row.no+1), 1]/datacopy[(row.no+1), 3]
        }

      }

    }

    datacopy

  })  


  output$table1=renderRHandsontable({

    rhandsontable(mt())

  })

}



shinyApp(ui,server)

希望有帮助!

: 根据您编辑的答案,我已经修改了以下代码.希望这会有所帮助.

: As per your edited answer I have modified the code below. Hopefully this helps.

 library(shiny)
    library(datasets)
    library(rhandsontable)
    library(data.table)



    c1= c(rep("0112",3), rep("0113",3),rep("0114",3))
    c2= c( rep(c("A", "B","C"),3))
    c3= c(rep(c("5312", "5421", "5510"),3)) 
    c4=c(rep(c("Area", "Yield", "Prod"),3))
    c5 = c( rep(2010,9))
    c6= c( 4,68,16169,1062,1.5,43225,800,1.25,100)
    data_=cbind(c1,c2,c3,c4,c5,c6)
    data_=as.data.frame(data_)
    names(data_) = c("CPCCode", "Item","ElementCode","El","Year","Value")
    data_$Value=as.numeric(levels( data_$Value))[ data_$Value]
    data_$Year= as.integer(levels( data_$Year))[data_$Year]
    data_$ElementCode = as.character(data_$ElementCode)
    rownames(data_) = NULL


    ui=fluidPage(

      rHandsontableOutput("table1")

    )

    server=function(input, output, session) {

      mt=reactive({

        datacopy <- NULL

        #For initial data upload
        if(is.null(input$table1)){ 

          datacopy <- data_

        }else{
          datacopy = hot_to_r(input$table1)

          #If there is change in data
          if(!is.null(input$table1$changes$changes)){

            row.no <- unlist(input$table1$changes$changes)[1]
            element = datacopy[(row.no + 1), "ElementCode"]
            year= datacopy[(row.no + 1), "Year"]
            cpccode= datacopy[(row.no + 1), "CPCCode"]
            col.no <- unlist(input$table1$changes$changes)[2]
            if(element == "5421"){#Yield

              datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year &  
                               datacopy$ElementCode == "5510"] =
                datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year & 
                                 datacopy$ElementCode == "5312"] *
                datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year & 
                                 datacopy$ElementCode == "5421"]

            }else if(element == "5510"){#Area

              datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year & 
                               datacopy$ElementCode == "5312"] = 
                datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year &  
                                 datacopy$ElementCode == "5510"] /
                datacopy$Value[datacopy$CPCCode == cpccode & datacopy$Year == year & 
                                 datacopy$ElementCode == "5421"]

            }

          }

        }

        datacopy

      }) 

      output$table1=renderRHandsontable({

        rhandsontable(mt())

      })

    }



    shinyApp(ui,server)

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