我是新手,有滑块输入的问题,它适用于数据集,但不适用于我的直方图,请你帮我看一下,谢谢。
我正在尝试构建一个闪亮的应用程序来显示姿态{datasets},第一个选项卡只显示数据,滑块工作得很好,但在第二个选项卡中,滑块输入不适用于我的直方图。我不知道为什么,我尝试过rChart之前它也有效。请忽略about.md文件,它只是描述。
ui.r
library(shiny)
require(markdown)
library(ggplot2)
# Define UI for application that draws a histogram
shinyUI(
navbarPage("Employee attitude survey",
# multi-page user-interface that includes a navigation bar.
tabPanel("Explore the Data",
sidebarPanel(
sliderInput("rating",
"Employee rating filter:",
min = 1,
max = 100,
value = c(10,50))
),
# Show a plot of the generated distribution
# mytable1: dataset
# distPlot: histogram
mainPanel(
tabsetPanel(
tabPanel(p(icon("table"), "Dataset"),
dataTableOutput("mytable1")),
tabPanel(p(icon("search"), "Visualize the Data"),
plotOutput("distPlot"))
)
)
),
tabPanel("About",
mainPanel(
includeMarkdown("about.md")
)
) # end of "About" tab panel
)
)
server.R
library(shiny)
library(ggplot2)
# Define server logic required to draw a histogram and a table
shinyServer(function(input, output) {
# table to display the attitude, slider works
output$mytable1 = renderDataTable({
attitude[which(attitude$rating <= input$rating[2] & attitude$rating >= input$rating[1]), ]
})
# histogram of rating, but slider not works
output$distPlot <- renderPlot({
df <- attitude[which(attitude$rating <= input$rating[2] & attitude$rating >= input$rating[1]), ]
p1 <- ggplot() + aes(df[,"rating"])
p1 <- p1 + geom_histogram(binwidth=2, col="skyblue", aes(fill=..count..), alpha=0.6)
p1
})
})
为什么滑块不能用于我的ggplot直方图。但适用于数据集?非常感谢。
答案 0 :(得分:1)
试试这个
# histogram of rating, but slider not works
output$distPlot <- renderPlot({
df <- attitude[which(attitude$rating <= input$rating[2] & attitude$rating >= input$rating[1]), ]
test <<- (df[,"rating"])
p1 <- ggplot() + aes(test)
p1 <- p1 + geom_histogram(binwidth=2, col="skyblue", aes(fill=..count..), alpha=0.6)
p1
})