我是新手,我在像renderPlot这样的文档中找到了,第一个参数expr
可以保存在变量中。
我很感兴趣,如果可以将文本字符串解析为表达式,然后将其传递给渲染函数。
我做了一些测试,renderPrint
:
code <- "x<-faithful[, 2]"
expr <- parse(text=code)
output$out1 <- renderPrint(expr)
输出显示x<-faithful[, 2]
,如果我用parse
eval
code <- "x<-faithful[, 2]"
expr <- eval(parse(text=code))
output$out1 <- renderPrint(expr)
然后打印数据框。
如果我传递一个表达式变量,renderPlot
函数对我不起作用,下面的代码将绘制一个图表
output$distPlot <- renderPlot({
x <- faithful[, 2] # Old Faithful Geyser data
bins <- seq(min(x), max(x), length.out = 51)
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
但是,如果我从字符串解析相同的代码并保存为表达式,则它不起作用
ui.R
#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
shinyUI(fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
))
server.R
#
# This is the server logic of a Shiny web application. You can run the
# application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define server logic required to draw a histogram
shinyServer(function(input, output) {
str<- c("x <- faithful[, 2] # Old Faithful Geyser data\n", "bins <- seq(min(x), max(x), length.out = 51)\n", "hist(x, breaks = bins, col = 'darkgray', border = 'white')")
code <- paste(str, collapse = "")
expr <- parse(text=code)
print(code)
print(expr)
output$distPlot <- renderPlot(expr)
})
输出是一个空图像,我也尝试用eval包装表达式,它是相同的输出
应用链接:https://jerryjin.shinyapps.io/expr/
从变量渲染表达式的正确方法是什么?
谢谢你!答案 0 :(得分:1)
你应该用eval包装表达式,它应该是大括号,因为它是一个多行表达式。
试试这个:
output$distPlot <- renderPlot({eval(expr)})