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我是R Shiny的真正初学者。
我在下面的链接中有类似的问题。multiple group_by in shiny app
而不是按照上面的链接中的说明制作一张工作表/我进行管理的表。
我想作图,最好是用hchart。由于分组依据,我将在其中切换信息。困难的部分/或者不起作用的是将group_by放在x轴上。
## hier de tabel versie
df2 <- readRDS("Data.rds")
library(shiny)
library(DT)
library(dplyr)
ui <- fluidPage(
titlePanel("Dashboard"),
sidebarLayout(
sidebarPanel(
uiOutput("groups")
),
mainPanel(
DT::dataTableOutput("summary")
)
)
)
server <- function(input, output) {
mydata <- reactive({
data <- df2
data
})
output$groups <- renderUI({
df <- mydata()
selectInput(inputId = "grouper", label = "Group variable", choices = c("L","Lt","Lp"), selected = "L")
})
summary_data <- reactive({
req(input$grouper)
mydata() %>%
dplyr::group_by(!!!rlang::syms(input$grouper)) %>%
dplyr::summarise(aantal = n()) %>%
dplyr::arrange(desc(aantal))
})
output$summary <- DT::renderDataTable({
DT::datatable(summary_data())
})
}
shinyApp(ui, server)
上面的代码有效,但是我试图绘制这样的图:
df2 <- readRDS("Data.rds")
library(shiny)
library(highcharter)
library(dplyr)
ui <- fluidPage(
titlePanel("Dashboard"),
sidebarLayout(
sidebarPanel(
uiOutput("groups")
),
mainPanel(
highchartOutput("plotje")
)
)
)
server <- function(input, output) {
mydata <- reactive({
data <- df2
data
})
output$groups <- renderUI({
df <- mydata()
selectInput(inputId = "grouper", label = "Group variable", choices = c("L","Lt","Lp"), selected = "L")
})
summary_data <- reactive({
req(input$grouper)
mydata() %>%
dplyr::group_by(!!!rlang::syms(input$grouper)) %>%
dplyr::summarise(aantal = n()) %>%
dplyr::arrange(desc(aantal))
})
output$plotje <- renderHighchart({
data <- summary_data()
hchart(data, "column", hcaes(x = "grouper" , y = aantal)) # --> de plot zelf komt in het output deel van de UI
})
}
shinyApp(ui, server)
有人可以帮我吗?!
提前感谢!
亲切的问候,
Steffie
您在input$grouper
变量中有grouper列。这只是取消报价的问题。
hchart(data, "column", hcaes(x = "grouper" , y = aantal))
行应为:hchart(data, "column", hcaes(x = !!input$grouper , y = aantal))
完整示例(使用iris
数据,因为您没有提供自己的数据示例):
library(shiny)
library(DT)
library(highcharter)
library(dplyr)
ui <- fluidPage(titlePanel("Dashboard"),
sidebarLayout(
sidebarPanel(uiOutput("groups")),
mainPanel(DT::dataTableOutput("summary"),
highchartOutput("plot"))
))
server <- function(input, output) {
mydata <- reactive({
iris
})
output$groups <- renderUI({
df <- mydata()
selectInput(
inputId = "grouper",
label = "Group variable",
choices = c("Petal.Length", "Species"),
selected = "Species"
)
})
summary_data <- reactive({
req(input$grouper)
mydata() %>%
dplyr::group_by(!!!rlang::syms(input$grouper)) %>%
dplyr::summarise(aantal = n()) %>%
dplyr::arrange(desc(aantal))
})
output$summary <- DT::renderDataTable({
DT::datatable(summary_data())
})
output$plot <- renderHighchart({
req(input$grouper)
data <- summary_data()
hchart(data, "column", hcaes(x = !!input$grouper, y = aantal))
})
}
shinyApp(ui, server)