使用 Shiny 绘制 R 中的股票波动率

Question

希望有一些方向。 我是“R”和 Shiny 的新手，并且有一些编程背景，我想在这里申请，但无济于事。 本质上，我使用quantmod作为 Shiny 的扩展，因此我可以使用 plot 股票波动率。 使用以下命令在终端中成功：

getSymbols(‘SPY’,from=’2007/01/01′)
vol=volatility(SPY,n=25,N=252,calc=’close’)
chartSeries(vol)

但是，当我尝试将其转换为 Shiny 应用程序以便在 web 浏览器中呈现它时，我遇到了几个错误。 可能使用了错误的功能？ 不确定......这是我的代码：

library(quantmod)
library(stringr)
library(tidyr)
library(dplyr)
library(ggplot2)
source("helpers.R")


# Define UI for application that draws a histogram
ui <- fluidPage(
    titlePanel("Theoretical Vol"),
    helpText("Select a stock to examine. Information will be collected from Yahoo finance."),
    textInput("symb", "Symbol", "SPY"),
    dateRangeInput("dates","Date range",start = "2019-01-01",end = as.character(Sys.Date())),
    plotOutput("plot")    
)

# Define server logic required to draw a histogram
server <- function(input, output) {
    dataInput <- reactive({
        getSymbols(input$symb, src = "yahoo",
                   from = input$dates[1],
                   to = input$dates[2],
                   auto.assign = FALSE)
    })
    
    output$plot <- reactive(
        vol <- volatility(input$symb,n=25,N=252,calc="close"))
    
}

# Run the application 
shinyApp(ui = ui, server = server)

错误信息：

Listening on http://127.0.0.1:5727
Warning: Error in log: non-numeric argument to mathematical function
  99: diff
  98: ROC
  97: volatility
  96: <reactive>
  80: output$plot
   1: runApp

Answer 1

尝试这个

ui <- fluidPage(
  titlePanel("Theoretical Vol"),
  helpText("Select a stock to examine. Information will be collected from Yahoo finance."),
  textInput("symb", "Symbol", value="SPY"),
  dateRangeInput("dates","Date range",start = "2019-01-01",end = as.character(Sys.Date())),
  plotOutput("plot")
)

# Define server logic required to draw a histogram
server <- function(input, output) {

  output$plot <- renderPlot({
    
    price <- getSymbols(req(input$symb), src = "yahoo",
               from = input$dates[1],
               to = input$dates[2],
               auto.assign = FALSE)
    vol <- volatility(price,n=25,N=252,calc="close")
    chartSeries(vol)
  })
  
}

# Run the application
shinyApp(ui = ui, server = server)