case_when变异整数转换问题

问题描述

我想知道如何解决case_when中的整数和双矢量问题。我需要双精度矢量作为我的数字输入，但是，“ case_when”总是会抛出一个错误，例如“ x必须是整数矢量，而不是双精度矢量”。

仅当我将“ TRUE〜0”更改为“ TRUE〜0L”时才允许输入整数输入

我需要输入0.05、0.01等通货膨胀率，而不是1,2 3这样的整数

几天来我对这个错误感到沮丧。有人可以帮我吗？

谢谢！

#Load packages
library(shiny)
library(data.table)
library(dplyr,warn.conflicts = FALSE)
library(DT)
#> 
#> Attaching package: 'DT'
#> The following objects are masked from 'package:shiny':
#> 
#>     dataTableOutput,renderDataTable
library(tidyr)


df<-data.frame('provider'="CVS",'year'=c(2020,2021,2022,2023,2024,2025))


# Define UI for app that draws a histogram ----
ui <- fluidPage(
  
  # App title ----
  titlePanel("Hello Shiny!"),# Sidebar layout with input and output deFinitions ----
  sidebarLayout(
    
    # Sidebar panel for inputs ----
    sidebarPanel(
      tabsetPanel(
        tabPanel("Brand Inf",numericInput("b1","Brand 1",min = NA,max = NA),numericInput("b2","Brand 2",numericInput("b3","Brand 3",max = NA)),tabPanel("GFR",numericInput("p1","GFR 1",numericInput("p2","GFR 2",numericInput("p3","GFR 3",max = NA))),width = 2),# Main panel for displaying outputs ----
    mainPanel(
      DT::dataTableOutput("table"))
  ))


# Define server logic required to draw a histogram ----
server <- function(input,output) {
  
  DF<-function(var1,var2,var3,var4,var5,var6){
    var1<-enexpr(var1)
    var2<-enexpr(var2)
    var3<-enexpr(var3)
    var4<-enexpr(var4)
    var5<-enexpr(var5)
    var6<-enexpr(var6)
    
    df<-df %>% rowwise %>% 
      mutate(inflation= case_when(year== 2020 ~ !!var1,year == 2021 ~ !!var2,year == 2022 ~ !!var3,TRUE ~ 0),GFR=case_when(year== 2020 ~ !!var4,year == 2021 ~ !!var5,year == 2022 ~ !!var6,TRUE ~ 0))
  }
  
  data<-reactive({
    
    DF(input,input$b1,input$b2,input$b3,input$p1,input$p2,input$p3) 
    
  })
  
  #plan awp table
  output$table <- DT::renderDataTable({
    DATA <- data()
  })
  
}

shinyApp(ui,server)

静态R Markdown文档中不支持发光的应用程序

DF(0.05,0.05,0.01,0.01)
#> Error in DF(0.05,0.01): Could not find function "DF"
DF
#> Error in eval(expr,envir,enclos): object 'DF' not found

^{由reprex package（v0.3.0）于2020-08-12创建}

解决方法

尝试一下

#Load packages
library(shiny)
library(data.table)
library(dplyr,warn.conflicts = FALSE)
library(DT)
library(tidyr)

df<-data.frame(provider="CVS",year=c(2020,2021,2022,2023,2024,2025))

# Define UI for app that draws a histogram ----
ui <- fluidPage(
  
  # App title ----
  titlePanel("Hello Shiny!"),# Sidebar layout with input and output definitions ----
  sidebarLayout(
    
    # Sidebar panel for inputs ----
    sidebarPanel(width=2,h3("Brand Inf"),numericInput("b1","Brand 1",min = NA,max = NA),numericInput("b2","Brand 2",numericInput("b3","Brand 3",h3("GFR"),numericInput("p1","GFR 1",numericInput("p2","GFR 2",numericInput("p3","GFR 3",max = NA)        
      
    ),# Main panel for displaying outputs ----
    mainPanel(
      DTOutput("table"))
  )
)


# Define server logic required to draw a histogram ----
server <- function(input,output) {
  
  DF<-function(var1,var2,var3,var4,var5,var6){
    
    df1<-df %>% rowwise %>% 
      transform(inflation= case_when(year== 2020 ~ var1,year == 2021 ~ var2,year == 2022 ~ var3,TRUE ~ 0),GFR=case_when(year== 2020 ~ var4,year == 2021 ~ var5,year == 2022 ~ var6,TRUE ~ 0))
      
    return(df1)
  }
  
  data1<-reactive({
    
    DF(as.numeric(input$b1),as.numeric(input$b2),as.numeric(input$b3),as.numeric(input$p1),as.numeric(input$p2),as.numeric(input$p3)) 
    
  })
  
  #plan awp table
  output$table <- renderDT({
    data1()
  })
  
}

shinyApp(ui,server)