我似乎无法让我的情节出现在拉赫曼数据这个闪亮的应用程序中。任何帮助将不胜感激。
ui.R
library(shiny)
library(ggplot2)
shinyUI(fluidPage(
fluidRow(
sidebarLayout(
sidebarPanel(
selectInput("team","Select Team",choices=levels(teamID)),
sliderInput("year","Include Years in Range",min=1871,max=2014,value=c(1871,2014), sep="")
),
mainPanel(
plotOutput("pitchingplot")
)
)
)
))
server.R
library(dplyr)
library(ggplot2)
library(shiny)
shinyServer(function(input, output) {
Pitching%>%
group_by(input$teamID,yearID)%>%
filter(teamID=input$team,yearID>=input$year[1]& yearID<=input$year[2])
summarise(TotER=sum(ER))
output$pitchingplot<-renderPlot({
g<-ggplot(data=Pitching,aes(x=yearID,y=TotER)) + geom_point(aes(color=input$team))
g
})
})
答案 0 :(得分:1)
您没有准确指定您想要的内容,因此很难提供帮助。我所能做的只是使代码工作 - 添加了反应数据集data
并改变了一些事情。
library(shiny)
library(ggplot2)
library(dplyr)
library(Lahman)
data("LahmanData")
ui <- shinyUI(fluidPage(
fluidRow(
sidebarLayout(
sidebarPanel( # added Pithing$
selectInput("team","Select Team", choices=levels(Pitching$teamID)),
sliderInput("year","Include Years in Range",min=1871,max=2014,value=c(1871,2014), sep="")
),
mainPanel(
plotOutput("pitchingplot")
)
)
)
))
server <- shinyServer(function(input, output) {
# create a reactive dataset which is passed to ggplot object
data <- reactive({
Pitching%>%
group_by(teamID == input$team, yearID)%>% # changed to teamID == input$team
filter(yearID >= input$year[1] & yearID <= input$year[2]) %>%
summarise(TotER=sum(ER))
})
output$pitchingplot<-renderPlot({
# changed to data() # use aes_string if the variable is passed as a string
g<-ggplot(data=data(),aes(x=yearID,y=TotER)) + geom_point()
g
})
})
shinyApp(ui = ui, server)