如何在Shiny网页中集成R脚本?

问题描述 投票:0回答:1

在R脚本中,我通过提供培训构建了一个svm模型。在闪亮的网页中,我设计了一个用户界面,其中放置了一个文本框和两个文本区域以从用户那里获得输入。

现在我希望当用户提交按钮时,文本框和textarea值应该由R脚本程序使用,其中对模型进行训练,现在使用新输入通过内置模型对数据进行分类。

那么如何将闪亮网页的文本字段值传递给R脚本?

 ui <- fluidPage( fluidRow(id="form-row",column(6,offset =3 ,id="form-col",p(id="mandatory","'*' Fields are manadatory"),div(id = "form",
                              div(id="p-container",p(id="form-header","Your Question")), 
                              div(id="form-field-container",
                              textInput("title", "*Title",  width='100%',placeholder="Your Title is here..."),
                             # verbatimTextOutput("value"),
                            textOutput("title_val"),
                            #for text area width 100%
                              tags$style(HTML(".shiny-input-container:not(.shiny-input-container-inline){width: 100%;}")),
                              textAreaInput("description", "*Description", width='100%',rows = 3, resize = "both",placeholder="Description..."),
                            textOutput("desc_val"),  
                            textAreaInput("code", "*Code", width='100%',rows = 3, resize = "both",placeholder="Write your code..."),
                            textOutput("code_val"),
                            useShinyalert(),
                              actionButton("submit", "Submit", class = "btn-primary")
                              ))
        )
    )
)
server <- function(input, output, session){
  observeEvent( input$submit,{
    title_val <- as.character(input$title)
    desc_val <- as.character(input$description)
    code_val <- as.character(input$code)
    ques<- paste(desc_val, code_val,sep=" \n")
  shinyalert( title_val, ques, type = "success")

  })
}

shinyApp(ui=ui, server=server)
r shiny
1个回答
0
投票

你可以这样做:

eval(parse(text = input$code))

您可以使用evalparse来评估字符串。

library(shiny)
library(tidyverse)
library(shinyalert)

ui <- fluidPage( fluidRow(id="form-row",column(6,offset =3 ,id="form-col",p(id="mandatory","'*' Fields are manadatory"),div(id = "form",
                div(id="p-container",p(id="form-header","Your Question")), 
                div(id="form-field-container",
                textInput("title", "*Title",  width='100%',placeholder="Your Title is here..."),
                # verbatimTextOutput("value"),
                textOutput("title_val"),
                #for text area width 100%
                tags$style(HTML(".shiny-input-container:not(.shiny-input-container-inline){width: 100%;}")),
                textAreaInput("description", "*Description", width='100%',rows = 3, resize = "both",placeholder="Description..."),
                textOutput("desc_val"),  
                textAreaInput("code", "*Code", width='100%',rows = 3, resize = "both",placeholder="Write your code..."),
                textOutput("code_val"),
                useShinyalert(),
                actionButton("submit", "Submit", class = "btn-primary")
                ))
)
)
)



server <- function(input, output, session){

    model <- reactive({

        data <- mtcars # use your own data, might it be in a fileinput or some other data

        result <- eval(parse(text = input$code)) # Should include a hint to what way your dataframe is called and how it looks.
        result

    })


    observeEvent( input$submit,{
        title_val <- as.character(input$title)
        desc_val <- as.character(input$description)
        code_val <- as.character(input$code)
        ques<- paste(desc_val, code_val,sep=" \n")
        shinyalert( title_val, ques, type = "success")

    })
}

shinyApp(ui=ui, server=server)

但说实话,我不喜欢从用户输入中解析和评估文本的想法。太多的可能性会遇到麻烦。

当我必须复制并粘贴脚本作为输入时,不熟悉R的人的主要优点就消失了

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